People:S Lee

2022-11-14T12:13:15Z

Shlee354: /* Sungho Lee */

People:S Lee

2022-11-14T10:11:06Z

Shlee354: /* Sungho Lee */

===Sungho Lee===
{|
|[[File:Shlee_20221114.jpg|400px]]
|
*''' Ph.D. program student''' (2017~), Department of Biotechnology, Yonsei University
*'''B.S.''' (2013-2017), Department of Biomedical Science, CHA University
E-mail: shlee354@yonsei.ac.kr

* '''Current research topic(s)'''
** Human gut microbiota
** Functional metagenomics
** Co-functional gene network
 
* '''Favorites'''
** Weight training
** Karaoke
** Pizza
|}

==Publications==
* '''Sungho Lee*''', Tak Lee*, Sunmo Yang and Insuk Lee**, BarleyNet: a network-based functional omics analysis server for cultivated barley, ''Hordeum vulgare'' L., ''Frontiers in Plant Science'' 2020 Feb 18;'''11:98'''
* Lee T*, '''Lee S*''', Yang S, Lee I**. MaizeNet: A co-functional network for network-assisted systems genetics in Zea mays, ''The Plant Journal'' 2019 Aug '''99(3)''':571-582
* Han H*, Cho JW, Lee S, Yun A, Kim H, Bae D, Yang S, Kim CY, Lee M, Kim E, '''Lee S''', Kang B, Jeong D, Kim Y, Jeon HN, Jung H, Nam S, Chung M, Kim JH, Lee I**, TRRUST v2: An expanded reference database of human and mouse transcriptional regulatory interactions, ''Nucleic Acids Research'' 2018 Jan 4; '''46(D1)''':D380–D386.
* Kim E*, Bae D*, Yang S*, Ko G, '''Lee S''', Lee B**, Lee I**. BiomeNet: A database for construction and analysis of functional interaction networks for any species with a sequenced genome, ''Bioinformatics'' 2019 Oct 10.

2020-08-24T01:31:33Z

Shlee354: /* Sungho Lee */

===Sungho Lee===
{|
|[[File:Shlee_202008_profile.jpg|400px]]
|
*'''Ph.D program student''' (2017~), Department of Biotechnology, Yonsei University
*'''B.S.''' (2013-2017), Department of Biomedical Science, CHA University
E-mail: shlee354@gmail.com

* '''Current research topic(s)'''
** Human gut microbiota
** Functional metagenomics
** Co-functional gene network
 
* '''Hobby'''
** Weight training
** Python programming
|}

==Publications==
* '''Sungho Lee*''', Tak Lee*, Sunmo Yang and Insuk Lee**, BarleyNet: a network-based functional omics analysis server for cultivated barley, ''Hordeum vulgare'' L. ''Frontiers in Plant Science'' 2020 Feb 18;'''11:98'''
* Lee T*, '''Lee S*''', Yang S, Lee I**. MaizeNet: A co-functional network for network-assisted systems genetics in Zea mays, ''The Plant Journal'' 2019 Aug '''99(3)''':571-582
* Han H*, Cho JW, Lee S, Yun A, Kim H, Bae D, Yang S, Kim CY, Lee M, Kim E, '''Lee S''', Kang B, Jeong D, Kim Y, Jeon HN, Jung H, Nam S, Chung M, Kim JH, Lee I**, TRRUST v2: An expanded reference database of human and mouse transcriptional regulatory interactions. ''Nucleic Acids Research'' 2018 Jan 4; '''46(D1)''':D380–D386.
* Kim E*, Bae D*, Yang S*, Ko G, '''Lee S''', Lee B**, Lee I**. BiomeNet: A database for construction and analysis of functional interaction networks for any species with a sequenced genome ''Bioinformatics'' 2019 Oct 10.

2019-11-25T02:32:12Z

Shlee354:

===Sungho Lee===
{|
|[[File:2019_sungho.png|300px]]
|
*'''Ph.D program student''' (2017~), Department of Biotechnology, Yonsei University
*'''B.S.''' (2013-2017), Department of Biomedical Science, CHA University
E-mail: shlee354@gmail.com

* '''Current research topic(s)'''
** Human gut microbiota
** Co-functional gene network
 
* '''Hobby'''
** Weight training
** Python programming
|}

==Publications==
* Lee T*, '''Lee S*''', Yang S, Lee I**. MaizeNet: A co-functional network for network-assisted systems genetics in Zea mays, ''The Plant Journal'' 2019 Aug '''99(3)''':571-582
* Han H*, Cho JW, Lee S, Yun A, Kim H, Bae D, Yang S, Kim CY, Lee M, Kim E, '''Lee S''', Kang B, Jeong D, Kim Y, Jeon HN, Jung H, Nam S, Chung M, Kim JH, Lee I**, TRRUST v2: An expanded reference database of human and mouse transcriptional regulatory interactions. ''Nucleic Acids Research'' 2018 Jan 4; '''46(D1)''':D380–D386.
* Kim E*, Bae D*, Yang S*, Ko G, '''Lee S''', Lee B**, Lee I**. BiomeNet: A database for construction and analysis of functional interaction networks for any species with a sequenced genome ''Bioinformatics'' 2019 Oct 10.

People:S Lee

2019-09-25T00:08:12Z

Shlee354:

People:S Lee

2019-09-09T11:11:07Z

Shlee354:

People:S Lee

2019-09-09T11:09:07Z

Shlee354:

Journal Club

2019-09-09T02:01:33Z

Shlee354:

{|class=wikitable style="text-align:center;"
|+style="text-align:left;font-size:12pt" | 2019-2nd semester
|-
!scope="col" style="padding:.4em" |Date
!scope="col" stype="padding:.4em" | Team
!scope="col" style="padding:.4em" | Paper index
!scope="col" style="padding:.4em" | Presenter
!scope="col" style="padding:.4em" | Paper title
|-
|style="padding:.4em;" rowspan=2|2019/10/15
|style="padding:.4em;" rowspan=2|Microbiome
|style="padding:.4em;"|19-47
|style="padding:.4em;"|CY Kim
|style="padding:.4em;text-align:left"|
[https://www.sciencedirect.com/science/article/pii/S1931312819303488 Obese Individuals with and without Type 2 Diabetes Show Different Gut Microbial Functional Capacity and Composition]
|-
|style="padding:.4em;"|19-46
|style="padding:.4em;"|SH Lee
|style="padding:.4em;text-align:left"|
[https://microbiomejournal.biomedcentral.com/articles/10.1186/s40168-019-0722-6 Clustering co-abundant genes identifies components of the gut microbiome that are reproducibly associated with colorectal cancer and inflammatory bowel disease]
|-
|style="padding:.4em;" rowspan=2|2019/10/08
|style="padding:.4em;" rowspan=2|Single-cell
|style="padding:.4em;"|19-49
|style="padding:.4em;"|SB Baek
|style="padding:.4em;text-align:left"|
[https://genome.cshlp.org/content/early/2019/04/01/gr.243725.118 The accessible chromatin landscape of the murine hippocampus at single-cell resolution]
|-
|style="padding:.4em;"|19-48
|style="padding:.4em;"|JH Cha
|style="padding:.4em;text-align:left"|
[https://www.sciencedirect.com/science/article/pii/S009286741830446X Integrated Single-Cell Analysis Maps the Continuous Regulatory Landscape of Human Hematopoietic Differentiation]
|-
|style="padding:.4em;" rowspan=2|2019/10/01
|style="padding:.4em;" rowspan=2|Microbiome
|style="padding:.4em;"|19-47
|style="padding:.4em;"|MY Lee
|style="padding:.4em;text-align:left"|
[https://www.sciencedirect.com/science/article/pii/S1931312819303026 Meta-Analysis Reveals Reproducible Gut Microbiome Alterations in Response to a High-Fat Diet]
|-
|style="padding:.4em;"|19-46
|style="padding:.4em;"|NY Kim
|style="padding:.4em;text-align:left"|
[https://www.sciencedirect.com/science/article/pii/S0092867419307731 Tumor Microbiome Diversity and Composition Influence Pancreatic Cancer Outcomes]
|-
|style="padding:.4em;" rowspan=2|2019/09/24
|style="padding:.4em;" rowspan=2|Single-cell
|style="padding:.4em;"|19-45
|style="padding:.4em;"|SB Baek
|style="padding:.4em;text-align:left"|
[https://www.nature.com/articles/s41587-019-0206-z Massively parallel single-cell chromatin landscapes of human immune cell development and intratumoral T cell exhaustion]
|-
|style="padding:.4em;"|19-44
|style="padding:.4em;"|SB Baek
|style="padding:.4em;text-align:left"|
[https://www.biorxiv.org/content/10.1101/739011v1 Assessment of computational methods for the analysis of single-cell ATAC-seq data]
|-
|style="padding:.4em;" rowspan=2|2019/09/17
|style="padding:.4em;" rowspan=2|Microbiome
|style="padding:.4em;"|19-43
|style="padding:.4em;"|SH Lee
|style="padding:.4em;text-align:left"|
[https://science.sciencemag.org/content/365/6449/eaau4735 A sparse covarying unit that describes healthy and impaired human gut microbiota development]
|-
|style="padding:.4em;"|19-42
|style="padding:.4em;"|CY Kim
|style="padding:.4em;text-align:left"|
[https://www.sciencedirect.com/science/article/pii/S0092867419307810 Large-Scale Analyses of Human Microbiomes Reveal Thousands of Small, Novel Genes]
|-
|style="padding:.4em;" rowspan=2|2019/09/10
|style="padding:.4em;" rowspan=2|Single-cell
|style="padding:.4em;"|19-41
|style="padding:.4em;"|KS Kim
|style="padding:.4em;text-align:left"|
[https://www.sciencedirect.com/science/article/pii/S0092867419307329?via%3Dihub Intra- and Inter-cellular Rewiring of the Human Colon during Ulcerative Colitis]
|-
|style="padding:.4em;"|19-40
|style="padding:.4em;"|IS Choi
|style="padding:.4em;text-align:left"|
[https://www.nature.com/articles/nbt.4042 Multiplexed droplet single-cell RNA-sequencing using natural genetic variation]
|-
|style="padding:.4em;" rowspan=2|2019/09/03
|style="padding:.4em;" rowspan=2|Microbiome
|style="padding:.4em;"|19-39
|style="padding:.4em;"|NY Kim
|style="padding:.4em;text-align:left"|
[https://www.sciencedirect.com/science/article/pii/S193131281930352X?via%3Dihub The Landscape of Genetic Content in the Gut and Oral Human Microbiome]
|-
|style="padding:.4em;"|19-38
|style="padding:.4em;"|CY Kim
|style="padding:.4em;text-align:left"|
[https://www.sciencedirect.com/science/article/pii/S0092867419307755?via%3Dihub Benchmarking Metagenomics Tools for Taxonomic Classification]
|}
{|class=wikitable style="text-align:center;"
|+style="text-align:left;font-size:12pt" | 2019
|-
!scope="col" style="padding:.4em" |Date
!scope="col" style="padding:.4em" | Paper index
!scope="col" style="padding:.4em" | Presenter
!scope="col" style="padding:.4em" | Paper title
|-
|style="padding:.4em;" rowspan=2|2019/08/20
|style="padding:.4em;"|19-37
|style="padding:.4em;"|JH Cha
|style="padding:.4em;text-align:left"|
[https://www.biorxiv.org/content/10.1101/719088v1 Coexpression uncovers a unified single-cell transcriptomic landscape]
|-
|style="padding:.4em;"|19-36
|style="padding:.4em;"|MY Lee
|style="padding:.4em;text-align:left"|
[https://www.biorxiv.org/content/10.1101/586859v1 Single-cell interactomes of the human brain reveal cell-type specific convergence of brain disorders]
|-
|style="padding:.4em;" rowspan=3|2019/08/14
|style="padding:.4em;"|19-35
|style="padding:.4em;"|SH Lee
|style="padding:.4em;text-align:left"|
[https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1004075 Proportionality: a valid alternative to correlation for relative data]
|-
|style="padding:.4em;"|19-34
|style="padding:.4em;"|SH Lee
|style="padding:.4em;text-align:left"|
[https://www.nature.com/articles/s41598-017-16520-0 propr: An R-package for Identifying Proportionally Abundant Features Using Compositional Data Analysis]
|-
|style="padding:.4em;"|19-33
|style="padding:.4em;"|HJ Han
|style="padding:.4em;text-align:left"|
[https://www.nature.com/articles/s41591-018-0157-9 Robust prediction of response to immune checkpoint blockade therapy in metastatic melanoma]
|-
|style="padding:.4em;" rowspan=2|2019/08/13
|style="padding:.4em;"|19-32
|style="padding:.4em;"|KS Kim
|style="padding:.4em;text-align:left"|
[https://www.nature.com/articles/s41592-018-0254-1 A test metric for assessing single-cell RNA-seq batch correction]
|-
|style="padding:.4em;"|19-31
|style="padding:.4em;"|KS Kim
|style="padding:.4em;text-align:left"|
[https://www.sciencedirect.com/science/article/pii/S0092867419305598 Comprehensive Integration of Single-Cell Data]
|-
|style="padding:.4em;" rowspan=2|2019/08/08
|style="padding:.4em;"|19-30
|style="padding:.4em;"|JH Cha
|style="padding:.4em;text-align:left"|
[https://www.sciencedirect.com/science/article/pii/S0092867418313941 Defining T Cell States Associated with Response to Checkpoint Immunotherapy in Melanoma]
|-
|style="padding:.4em;"|19-29
|style="padding:.4em;"|KS Kim
|style="padding:.4em;text-align:left"|
[https://www.sciencedirect.com/science/article/pii/S009286741831242X High-Dimensional Analysis Delineates Myeloid and Lymphoid Compartment Remodeling during Successful Immune-Checkpoint Cancer Therapy]
|-
|style="padding:.4em;" rowspan=2|2019/08/07
|style="padding:.4em;"|19-28
|style="padding:.4em;"|HJ Han
|style="padding:.4em;text-align:left"|
[https://www.biorxiv.org/content/10.1101/555557v1 A single-cell reference map for human blood and tissue T cell activation reveals functional states in health and disease]
|-
|style="padding:.4em;"|19-27
|style="padding:.4em;"|IS Choi
|style="padding:.4em;text-align:left"|
[https://www.sciencedirect.com/science/article/pii/S009286741831568X Dysfunctional CD8 T Cells Form a Proliferative, Dynamically Regulated Compartment within Human Melanoma]
|-
|style="padding:.4em;" rowspan=2|2019/07/30
|style="padding:.4em;"|19-26
|style="padding:.4em;"|IS Choi
|style="padding:.4em;text-align:left"|
[https://www.nature.com/articles/nm.4466 High-dimensional single-cell analysis predicts response to anti-PD-1 immunotherapy]
|-
|style="padding:.4em;"|19-25
|style="padding:.4em;"|JW Cho
|style="padding:.4em;text-align:left"|
[https://www.sciencedirect.com/science/article/pii/S0092867418311784 A Cancer Cell Program Promotes T Cell Exclusion and Resistance to Checkpoint Blockade]
|-
|style="padding:.4em;" rowspan=2|2019/07/23
|style="padding:.4em;"|19-24
|style="padding:.4em;"|HJ Han
|style="padding:.4em;text-align:left"|
[https://www.ncbi.nlm.nih.gov/pubmed/26006008 COMPASS identifies T-cell subsets correlated with clinical outcomes.]
|-
|style="padding:.4em;"|19-23
|style="padding:.4em;"|HJ Han
|style="padding:.4em;text-align:left"|
[https://www.nature.com/articles/ncomms14825 Sensitive detection of rare disease-associated cell subsets via representation learning]
|-
|style="padding:.4em;" rowspan=3|2019/05/30
|style="padding:.4em;"|19-22
|style="padding:.4em;"|
|style="padding:.4em;text-align:left"|
[https://www.ncbi.nlm.nih.gov/pubmed/30936547 Meta-analysis of fecal metagenomes reveals global microbial signatures that are specific for colorectal cancer]
|-
|style="padding:.4em;"|19-21
|style="padding:.4em;"|
|style="padding:.4em;text-align:left"|
[https://www.ncbi.nlm.nih.gov/pubmed/30936548 Metagenomic analysis of colorectal cancer datasets identifies cross-cohort microbial diagnostic signatures and a link with choline degradation]
|-
|style="padding:.4em;"|19-20
|style="padding:.4em;"|
|style="padding:.4em;text-align:left"|
[https://www.ncbi.nlm.nih.gov/pubmed/30664783 Microbial network disturbances in relapsing refractory Crohn's disease.]
|-
|style="padding:.4em;" rowspan=3|2019/05/23
|style="padding:.4em;"|19-19
|style="padding:.4em;"|
|style="padding:.4em;text-align:left"|
[https://www.ncbi.nlm.nih.gov/pubmed/30867587 New insights from uncultivated genomes of the global human gut microbiome]
|-
|style="padding:.4em;"|19-18
|style="padding:.4em;"|
|style="padding:.4em;text-align:left"|
[https://www.ncbi.nlm.nih.gov/pubmed/30745586 A new genomic blueprint of the human gut microbiota]
|-
|style="padding:.4em;"|19-17
|style="padding:.4em;"|
|style="padding:.4em;text-align:left"|
[https://www.ncbi.nlm.nih.gov/pubmed/30661755 Extensive Unexplored Human Microbiome Diversity Revealed by Over 150,000 Genomes from Metagenomes Spanning Age, Geography, and Lifestyle.]
|-
|style="padding:.4em;" rowspan=2|2019/05/16
|style="padding:.4em;"|19-16
|style="padding:.4em;"|
|style="padding:.4em;text-align:left"|
[https://www.ncbi.nlm.nih.gov/pubmed/29311644 Dynamics of metatranscription in the inflammatory bowel disease gut microbiome.]
|-
|style="padding:.4em;"|19-15
|style="padding:.4em;"|
|style="padding:.4em;text-align:left"|
[https://www.ncbi.nlm.nih.gov/pubmed/29335555 Metatranscriptome of human faecal microbial communities in a cohort of adult men.]
|-
|style="padding:.4em;" rowspan=2|2019/05/09
|style="padding:.4em;"|19-14
|style="padding:.4em;"|
|style="padding:.4em;text-align:left"|
[https://www.ncbi.nlm.nih.gov/pubmed/30193113 Post-Antibiotic Gut Mucosal Microbiome Reconstitution Is Impaired by Probiotics and Improved by Autologous FMT.]
|-
|style="padding:.4em;"|19-13
|style="padding:.4em;"|
|style="padding:.4em;text-align:left"|
[https://www.ncbi.nlm.nih.gov/pubmed/30193112 Personalized Gut Mucosal Colonization Resistance to Empiric Probiotics Is Associated with Unique Host and Microbiome Features.]
|-
|style="padding:.4em;" rowspan=2|2019/05/02
|style="padding:.4em;"|19-12
|style="padding:.4em;"|
|style="padding:.4em;text-align:left"|
[https://www.ncbi.nlm.nih.gov/pubmed/30753825 Distinct Immune Cell Populations Define Response to Anti-PD-1 Monotherapy and Anti-PD-1/Anti-CTLA-4 Combined Therapy.]
|-
|style="padding:.4em;"|19-11
|style="padding:.4em;"|
|style="padding:.4em;text-align:left"|
[https://www.ncbi.nlm.nih.gov/pubmed/30778252 Subsets of exhausted CD8+ T cells differentially mediate tumor control and respond to checkpoint blockade.]
|-
|style="padding:.4em;" rowspan=2|2019/4/11
|style="padding:.4em;"|19-10
|style="padding:.4em;"|
|style="padding:.4em;text-align:left"|
[https://www.ncbi.nlm.nih.gov/pubmed/30479382 Lineage tracking reveals dynamic relationships of T cells in colorectal cancer.]
|-
|style="padding:.4em;"|19-9
|style="padding:.4em;"|
|style="padding:.4em;text-align:left"|
[https://www.ncbi.nlm.nih.gov/pubmed/30523328 Single cell dissection of plasma cell heterogeneity in symptomatic and asymptomatic myeloma.]
|-
|style="padding:.4em;" rowspan=2|2019/4/4
|style="padding:.4em;"|19-8
|style="padding:.4em;"|
|style="padding:.4em;text-align:left"|
[https://www.ncbi.nlm.nih.gov/pubmed/29942092 Single-cell profiling of breast cancer T cells reveals a tissue-resident memory subset associated with improved prognosis.]
|-
|style="padding:.4em;"|19-7
|style="padding:.4em;"|
|style="padding:.4em;text-align:left"|
[https://www.ncbi.nlm.nih.gov/pubmed/29942094 Global characterization of T cells in non-small-cell lung cancer by single-cell sequencing]
|-
|style="padding:.4em;" rowspan=2|2019/3/28
|style="padding:.4em;"|19-6
|style="padding:.4em;"|
|style="padding:.4em;text-align:left"|
[https://www.ncbi.nlm.nih.gov/pubmed/28319088 Reference component analysis of single-cell transcriptomes elucidates cellular heterogeneity in human colorectal tumors.]
|-
|style="padding:.4em;"|19-5
|style="padding:.4em;"|
|style="padding:.4em;text-align:left"|
[https://www.ncbi.nlm.nih.gov/pubmed/28622514 Landscape of Infiltrating T Cells in Liver Cancer Revealed by Single-Cell Sequencing.]
|-
|style="padding:.4em;" rowspan=3|2019/3/21
|style="padding:.4em;"|19-4
|style="padding:.4em;"|
|style="padding:.4em;text-align:left"|
[https://www.ncbi.nlm.nih.gov/pubmed/29988129 Phenotype molding of stromal cells in the lung tumor microenvironment.]
|-
|style="padding:.4em;"|19-3-1
|style="padding:.4em;"|
|style="padding:.4em;text-align:left"|
[https://www.ncbi.nlm.nih.gov/pubmed/30787436 A single-cell molecular map of mouse gastrulation and early organogenesis]
|-
|style="padding:.4em;"|19-3
|style="padding:.4em;"|
|style="padding:.4em;text-align:left"|
[https://www.ncbi.nlm.nih.gov/pubmed/30787437 The single-cell transcriptional landscape of mammalian organogenesis]
|-
|style="padding:.4em;" rowspan=2|2019/3/14
|style="padding:.4em;"|19-2
|style="padding:.4em;"|
|style="padding:.4em;text-align:left"|
[https://www.ncbi.nlm.nih.gov/pubmed/29961579 Single-Cell Map of Diverse Immune Phenotypes in the Breast Tumor Microenvironment]
|-
|style="padding:.4em;"|19-1
|style="padding:.4em;"|
|style="padding:.4em;text-align:left"|
[https://www.ncbi.nlm.nih.gov/pubmed/29198524 Single-Cell Transcriptomic Analysis of Primary and Metastatic Tumor Ecosystems in Head and Neck Cancer]
|}
{|class=wikitable style="text-align:center;"
|+style="text-align:left;font-size:12pt" | 2018
|-
!scope="col" style="padding:.4em" |Date
!scope="col" style="padding:.4em" | Paper index
!scope="col" style="padding:.4em" | Presenter
!scope="col" style="padding:.4em" | Paper title
|-
|style="padding:.4em;" rowspan=2|2018/06/14
|style="padding:.4em;"|18-12
|style="padding:.4em;"|
|style="padding:.4em;text-align:left"|
[https://www.ncbi.nlm.nih.gov/pubmed/?term=A+pan-cancer+analysis+of+enhancer+expression+in+nearly+9000+patient+samples A Pan-Cancer Analysis of Enhancer Expression in Nearly 9000 Patient Samples.]
|-
|style="padding:.4em;"|18-11
|style="padding:.4em;"|
|style="padding:.4em;text-align:left"|
[https://www.ncbi.nlm.nih.gov/pubmed/?term=Machine+learning+identifies+stemness+features+associated+with+oncogenic+dedifferentiation Machine Learning Identifies Stemness Features Associated with Oncogenic Dedifferentiation.]
|-
|style="padding:.4em;" rowspan=2|2018/06/07
|style="padding:.4em;"|18-10
|style="padding:.4em;"|
|style="padding:.4em;text-align:left"|
[https://www.ncbi.nlm.nih.gov/pubmed/?term=Developmental+and+oncogenic+programs+in+H3K27M+gliomas+dissected+by+single-cell+RNA-seq Developmental and oncogenic programs in H3K27M gliomas dissected by single-cell RNA-seq.]
|-
|style="padding:.4em;"|18-9
|style="padding:.4em;"|
|style="padding:.4em;text-align:left"|
[https://www.ncbi.nlm.nih.gov/pubmed/?term=Chemoresistance+evolution+in+triple-negative+breast+cancer+delineated+by+single-cell+sequencing Chemoresistance Evolution in Triple-Negative Breast Cancer Delineated by Single-Cell Sequencing.]
|-
|style="padding:.4em;" rowspan=2|2018/05/31
|style="padding:.4em;"|18-8
|style="padding:.4em;"|
|style="padding:.4em;text-align:left"|
[https://www.ncbi.nlm.nih.gov/pubmed/?term=Mapping+human+pluripotent+stem+cell+differentiation+pathways+using+high+throughput+single-cell+RNA-sequencing Mapping human pluripotent stem cell differentiation pathways using high throughput single-cell RNA-sequencing.]
|-
|style="padding:.4em;"|18-7
|style="padding:.4em;"|
|style="padding:.4em;text-align:left"|
[https://www.ncbi.nlm.nih.gov/pubmed/?term=A+single-cell+RNA-seq+survey+of+the+developmental+landscape+of+the+human+prefrontal+cortex A single-cell RNA-seq survey of the developmental landscape of the human prefrontal cortex.]
|-
|style="padding:.4em;" rowspan=2|2018/05/24
|style="padding:.4em;"|18-6
|style="padding:.4em;"|CY Kim
|style="padding:.4em;text-align:left"|
[https://www.ncbi.nlm.nih.gov/pubmed/?term=Single-cell+RNA+sequencing+identifies+celltype-specific+cis-eQTLs+and+co-expression+QTLs Single-cell RNA sequencing identifies celltype-specific cis-eQTLs and co-expression QTLs.]
|-
|style="padding:.4em;"|18-5
|style="padding:.4em;"|HJ Han
|style="padding:.4em;text-align:left"|
[https://www.ncbi.nlm.nih.gov/pubmed/?term=FOCS%3A+a+novel+method+for+analyzing+enhancer+and+gene+activity+patterns+infers+an+extensive+enhancer-promoter+map FOCS: a novel method for analyzing enhancer and gene activity patterns infers an extensive enhancer-promoter map.]
|-
|style="padding:.4em;" rowspan=2|2018/05/17
|style="padding:.4em;"|18-4
|style="padding:.4em;"|KS Kim
|style="padding:.4em;text-align:left"|
[https://www.ncbi.nlm.nih.gov/pubmed/29149608 A Distinct Gene Module for Dysfunction Uncoupled from Activation in Tumor-Infiltrating T Cells.]
|-
|style="padding:.4em;"|18-3
|style="padding:.4em;"|SH Lee
|style="padding:.4em;text-align:left"|
[https://www.ncbi.nlm.nih.gov/pubmed/29610481 A global transcriptional network connecting noncoding mutations to changes in tumor gene expression.]
|-
|style="padding:.4em;" rowspan=2|2018/05/10
|style="padding:.4em;"|18-2
|style="padding:.4em;"|JW Cho
|style="padding:.4em;text-align:left"|
[https://www.ncbi.nlm.nih.gov/pubmed/?term=Inferring+regulatory+element+landscapes+and+transcription+factor+networks+from+cancer+methylomes Inferring regulatory element landscapes and transcription factor networks from cancer methylomes.]
|-
|style="padding:.4em;"|18-1
|style="padding:.4em;"|DS Bae
|style="padding:.4em;text-align:left"|
[https://www.ncbi.nlm.nih.gov/pubmed/28129544 Genomic and Transcriptomic Features of Response to Anti-PD-1 Therapy in Metastatic Melanoma.]
|}
{|class=wikitable style="text-align:center;"
|+style="text-align:left;font-size:12pt" | 2017
|-
!scope="col" style="padding:.4em" |Date
!scope="col" style="padding:.4em" | Paper index
!scope="col" style="padding:.4em" | Presenter
!scope="col" style="padding:.4em" | Paper title
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|style="padding:.4em;" rowspan=2|2017/06/28
|style="padding:.4em;"|17-36
|style="padding:.4em;"|HJ Han
|style="padding:.4em;text-align:left"|
[https://www.ncbi.nlm.nih.gov/pubmed/28104840 Tumor aneuploidy correlates with markers of immune evasion and with reduced response to immunotherapy.]
|-
|style="padding:.4em;"|17-35
|style="padding:.4em;"|JW Cho
|style="padding:.4em;text-align:left"|
[https://www.ncbi.nlm.nih.gov/pubmed/27240091 Landscape of tumor-infiltrating T cell repertoire of human cancers.]
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|style="padding:.4em;" rowspan=2|2017/06/14
|style="padding:.4em;"|17-34
|style="padding:.4em;"|JW Cho
|style="padding:.4em;text-align:left"|
[http://biorxiv.org/content/early/2015/09/01/025908 The landscape of T cell infiltration in human cancer and its association with antigen presenting gene expression.]
|-
|style="padding:.4em;"|17-33
|style="padding:.4em;"|MY Lee
|style="padding:.4em;text-align:left"|
[https://www.ncbi.nlm.nih.gov/pubmed/?term=10.1016%2Fj.cell.2016.08.052 A Distinct Gene Module for Dysfunction Uncoupled from Activation in Tumor-Infiltrating T Cells.]
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|style="padding:.4em;" rowspan=2|2017/06/07
|style="padding:.4em;"|17-32
|style="padding:.4em;"|
|style="padding:.4em;text-align:left"|
[http://www.tandfonline.com/doi/full/10.1080/2162402X.2016.1253654 Identification of genetic determinants of breast cancer immune phenotypes by integrative genome-scale analysis.]
|-
|style="padding:.4em;"|17-31
|style="padding:.4em;"|MY Lee
|style="padding:.4em;text-align:left"|
[https://www.ncbi.nlm.nih.gov/pubmed/?term=10.1016%2Fj.celrep.2016.03.075 Genomic Correlates of Immune-Cell Infiltrates in Colorectal Carcinoma.]
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|style="padding:.4em;" rowspan=2|2017/05/31
|style="padding:.4em;"|17-30
|style="padding:.4em;"|DS Bae
|style="padding:.4em;text-align:left"|
[https://www.ncbi.nlm.nih.gov/pubmed/?term=10.1016%2Fj.cell.2016.02.065 Genomic and Transcriptomic Features of Response to Anti-PD-1 Therapy in Metastatic Melanoma.]
|-
|style="padding:.4em;"|17-29
|style="padding:.4em;"|JW Cho
|style="padding:.4em;text-align:left"|
[https://www.ncbi.nlm.nih.gov/pubmed/?term=10.1016%2Fj.celrep.2016.12.019 Pan-cancer Immunogenomic Analyses Reveal Genotype-Immunophenotype Relationships and Predictors of Response to Checkpoint Blockade.]
|-
|style="padding:.4em;" rowspan=2|2017/05/24
|style="padding:.4em;"|17-28
|style="padding:.4em;"|EB Kim
|style="padding:.4em;text-align:left"|
[https://www.ncbi.nlm.nih.gov/pubmed/?term=10.1016%2Fj.cell.2016.12.022 Systemic Immunity Is Required for Effective Cencer Immunotherapy.]
|-
|style="padding:.4em;"|17-27
|style="padding:.4em;"|CY Kim
|style="padding:.4em;text-align:left"|
[https://www.ncbi.nlm.nih.gov/pubmed/?term=10.1016%2Fj.cell.2016.10.020 Linking the Human Gut Microbiome to Inflammatory Cytokine Production Capacity.]
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|style="padding:.4em;" rowspan=2|2017/05/17
|style="padding:.4em;"|17-26
|style="padding:.4em;"|
|style="padding:.4em;text-align:left"|
[https://www.ncbi.nlm.nih.gov/pubmed/?term=10.1016%2Fj.cell.2016.10.018 Host and Environmental Factors Influencing Individual Human Cytokine Responses.]
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|style="padding:.4em;"|17-25
|style="padding:.4em;"|
|style="padding:.4em;text-align:left"|
[https://www.ncbi.nlm.nih.gov/pubmed/?term=10.1016%2Fj.cell.2016.10.017 A Functional Genomics Approach to Understand Variation in Cytokine Production in Humans.]
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|style="padding:.4em;" rowspan=2|2017/04/26
|style="padding:.4em;"|17-24
|style="padding:.4em;"|
|style="padding:.4em;text-align:left"|
[https://www.ncbi.nlm.nih.gov/pubmed/?term=10.1038%2FNMETH.4177 Pooled CRISPR screening with single-cell transcriptome readout.]
|-
|style="padding:.4em;"|17-23
|style="padding:.4em;"|
|style="padding:.4em;text-align:left"|
[https://www.ncbi.nlm.nih.gov/pubmed/?term=10.1016%2Fj.cell.2016.11.039 Dissecting Immune Circuits by Linking CRISPR-Pooled Screens with Single-Cell RNA-Seq.]
|-
|style="padding:.4em;" rowspan=2|2017/04/12
|style="padding:.4em;"|17-22
|style="padding:.4em;"|SH Lee
|style="padding:.4em;text-align:left"|
[https://www.ncbi.nlm.nih.gov/pubmed/?term=10.1016%2Fj.cell.2016.11.038 Perturb-Seq: Dissecting Molecular Circuits with Scalable Single-Cell RNA Profiling of Pooled Genetic Screens.]
|-
|style="padding:.4em;"|17-21
|style="padding:.4em;"|CY Kim
|style="padding:.4em;text-align:left"|
[https://www.ncbi.nlm.nih.gov/pubmed/?term=10.1038%2Fnbt.3569 Wishbone identifies bifurcating developmental trajectories from single-cell data.]
|-
|style="padding:.4em;" rowspan=2|2017/04/05
|style="padding:.4em;"|17-20
|style="padding:.4em;"|KS Kim
|style="padding:.4em;text-align:left"|
[http://biorxiv.org/content/early/2017/02/21/110668 Reversed graph embedding resolves complex single-cell developmental trajectories.]
|-
|style="padding:.4em;"|17-19
|style="padding:.4em;"|SH Lee
|style="padding:.4em;text-align:left"|
[https://www.ncbi.nlm.nih.gov/pubmed/?term=10.1038%2Fnmeth.4150 Single-cell mRNA quantification and differential analysis with Census.]
|-
|style="padding:.4em;" rowspan=2|2017/03/29
|style="padding:.4em;"|17-18
|style="padding:.4em;"|
|style="padding:.4em;text-align:left"|
[https://www.ncbi.nlm.nih.gov/pubmed/?term=10.1016%2Fj.celrep.2016.12.060 Single-Cell Transcriptomic Analysis Defines Heterogeneity and Transcriptional Dynamics in the Adult Neural Stem Cell Lineage.]
|-
|style="padding:.4em;"|17-17
|style="padding:.4em;"|DS Bae
|style="padding:.4em;text-align:left"|
[https://www.ncbi.nlm.nih.gov/pubmed/26051941 Single-Cell Network Analysis Identifies DDIT3 as a Nodal Lineage Regulator in Hematopoiesis.]
|-
|style="padding:.4em;" rowspan=2|2017/03/22
|style="padding:.4em;"|17-16
|style="padding:.4em;"|
|style="padding:.4em;text-align:left"|
[https://www.ncbi.nlm.nih.gov/pubmed/27580035 Single-cell analysis of mixed-lineage states leading to a binary cell fate choice.]
|-
|style="padding:.4em;"|17-15
|style="padding:.4em;"|EB Kim
|style="padding:.4em;text-align:left"|
[https://www.ncbi.nlm.nih.gov/pubmed/27281220 Dissecting direct reprogramming from fibroblast to neuron using single-cell RNA-seq.]
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|style="padding:.4em;" rowspan=2|2017/03/15
|style="padding:.4em;"|17-14
|style="padding:.4em;"|
|style="padding:.4em;text-align:left"|
[https://www.ncbi.nlm.nih.gov/pubmed/?term=10.1126%2Fscience.aad0501 Dissecting the multicellular ecosystem of metastatic melanoma by single-cell RNA-seq.]
|-
|style="padding:.4em;"|17-13
|style="padding:.4em;"|
|style="padding:.4em;text-align:left"|
[https://www.ncbi.nlm.nih.gov/pubmed/26084335 Single-cell mRNA sequencing identifies subclonal heterogeneity in anti-cancer drug responses of lung adenocarcinoma cells.]
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|style="padding:.4em;" rowspan=2|2017/02/28
|style="padding:.4em;"|17-12
|style="padding:.4em;"|KS Kim
|style="padding:.4em;text-align:left"|
[https://www.ncbi.nlm.nih.gov/pubmed/27824113 A Comprehensive Characterization of the Function of LincRNAs in Transcriptional Regulation Through Long-Range Chromatin Interactions.]
|-
|style="padding:.4em;"|17-11
|style="padding:.4em;"|JE Shim
|style="padding:.4em;text-align:left"|
[//pubmed.gov/27851969 Epigenomic Deconvolution of Breast Tumors Reveals Metabolic Coupling between Constituent Cell Types.]
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|style="padding:.4em;" rowspan=2|2017/02/21
|style="padding:.4em;"|17-10
|style="padding:.4em;"|EB Kim
|style="padding:.4em;text-align:left"|
[http://biorxiv.org/content/early/2016/12/30/097451 Convergence of dispersed regulatory mutations predicts driver genes in prostate cancer.]
|-
|style="padding:.4em;"|17-09
|style="padding:.4em;"|EB Kim
|style="padding:.4em;text-align:left"|
[//pubmed.gov/27723759 Chromatin structure-based prediction of recurrent noncoding mutations in cancer.]
|-
|style="padding:.4em;" rowspan=2|2017/02/07
|style="padding:.4em;"|17-08
|style="padding:.4em;"|DS Bae
|style="padding:.4em;text-align:left"|
[http://biorxiv.org/content/early/2016/11/17/088286 Somatic Mutations and Neoepitope Homology in Melanomas Treated with CTLA-4 Blockade.]
|-
|style="padding:.4em;"|17-07
|style="padding:.4em;"|MY Lee
|style="padding:.4em;text-align:left"|
[http://biorxiv.org/content/early/2016/11/28/090134 Chemotherapy weakly contributes to predicted neoantigen expression in ovarian cancer.]
|-
|style="padding:.4em;" rowspan=1|2017/01/31
|style="padding:.4em;"|17-06
|style="padding:.4em;"|CY Kim
|style="padding:.4em;text-align:left"|
[//www.ncbi.nlm.nih.gov/pubmed/27912059 Microbiota Diurnal Rhythmicity Programs Host Transcriptome Oscillations.]
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|style="padding:.4em;" rowspan=1|2017/01/24
|style="padding:.4em;"|17-05
|style="padding:.4em;"|JW Cho
|style="padding:.4em;text-align:left"|
[//www.ncbi.nlm.nih.gov/pubmed/27851914 Transcriptional Landscape of Human Tissue Lymphocytes Unveils Uniqueness of Tumor-Infiltrating T Regulatory Cells.]
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|style="padding:.4em;" rowspan=2|2017/01/17
|style="padding:.4em;"|17-04
|style="padding:.4em;"|HJ Han
|style="padding:.4em;text-align:left"|
[//www.ncbi.nlm.nih.gov/pubmed/25938943 Mapping long-range promoter contacts in human cells with high-resolution capture Hi-C]
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|style="padding:.4em;"|17-03
|style="padding:.4em;"|EB Kim
|style="padding:.4em;text-align:left"|
[//www.ncbi.nlm.nih.gov/pubmed/27306882 CHiCAGO: robust detection of DNA looping interactions in Capture Hi-C data.]
|-
|style="padding:.4em;" rowspan=1|2017/01/10
|style="padding:.4em;"|17-02
|style="padding:.4em;"|JE Shim
|style="padding:.4em;text-align:left"|
[//www.ncbi.nlm.nih.gov/pubmed/26527291 ZIFA: Dimensionality reduction for zero-inflated single-cell gene expression analysis]
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|style="padding:.4em;" rowspan=1|2017/01/03
|style="padding:.4em;"|17-01
|style="padding:.4em;"|SH Lee
|style="padding:.4em;text-align:left"|
[//www.ncbi.nlm.nih.gov/pubmed/26287467 Single-cell messenger RNA sequencing reveals rare intestinal cell types]
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{|class=wikitable style="text-align:center;"
|+style="text-align:left;font-size:12pt" | 2016
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!scope="col" style="padding:.4em" |Date
!scope="col" style="padding:.4em" | Paper index
!scope="col" style="padding:.4em" | Presenter
!scope="col" style="padding:.4em" | Paper title
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|style="padding:.4em;" rowspan=1|2016/12/27
|style="padding:.4em;"|2016-31
|style="padding:.4em;"|EB Kim
|style="padding:.4em;text-align:left"|
[http://www.ncbi.nlm.nih.gov/pubmed/25664528 Decoding the regulatory network of early blood development from single-cell gene expression measurements.]
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|style="padding:.4em;" rowspan=1|2016/12/6
|style="padding:.4em;"|2016-30
|style="padding:.4em;"|KS Kim
|style="padding:.4em;text-align:left"|
[http://www.ncbi.nlm.nih.gov/pubmed/26299571 Single-Cell RNA-Seq with Waterfall Reveals Molecular Cascades underlying Adult Neurogenesis.]
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|style="padding:.4em;" rowspan=1|2016/11/29
|style="padding:.4em;"|2016-29
|style="padding:.4em;"|DS Bae
|style="padding:.4em;text-align:left"|
[http://www.ncbi.nlm.nih.gov/pubmed/24658644 The dynamics and regulators of cell fate decisions are revealed by pseudotemporal ordering of single cells.]
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|style="padding:.4em;" rowspan=1|2016/11/22
|style="padding:.4em;"|2016-28
|style="padding:.4em;"|CY Kim
|style="padding:.4em;text-align:left"|
[http://www.ncbi.nlm.nih.gov/pubmed/26887813 Classification of low quality cells from single-cell RNA-seq data.]
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|style="padding:.4em;" rowspan=1|2016/11/15
|style="padding:.4em;"|2016-27
|style="padding:.4em;"|MY Lee
|style="padding:.4em;text-align:left"|
[http://www.ncbi.nlm.nih.gov/pubmed/26000487 Droplet barcoding for single-cell transcriptomics applied to embryonic stem cells.]
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|style="padding:.4em;" rowspan=1|2016/11/8
|style="padding:.4em;"|2016-26
|style="padding:.4em;"|JW Cho
|style="padding:.4em;text-align:left"|
[http://www.ncbi.nlm.nih.gov/pubmed/26000488 Highly Parallel Genome-wide Expression Profiling of Individual Cells Using Nanoliter Droplets.]
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|style="padding:.4em;" rowspan=1|2016/11/1
|style="padding:.4em;"|2016-25
|style="padding:.4em;"|HJ Han
|style="padding:.4em;text-align:left"|
[http://www.ncbi.nlm.nih.gov/pubmed/27426982 Causal Mechanistic Regulatory Network for Glioblastoma Deciphered Using Systems Genetics Network Analysis.]
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|style="padding:.4em;" rowspan=1|2016/10/25
|style="padding:.4em;"|2016-24
|style="padding:.4em;"|MY Lee
|style="padding:.4em;text-align:left"|
[http://www.ncbi.nlm.nih.gov/pubmed/27549193 Comprehensive analyses of tumor immunity: implications for cancer immunotherapy.]
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|style="padding:.4em;" rowspan=1|2016/10/11
|style="padding:.4em;"|2016-23
|style="padding:.4em;"|JE Shim
|style="padding:.4em;text-align:left"|
[http://www.ncbi.nlm.nih.gov/pubmed/?term=sidespread+parainflammation Widespread parainflammation in human cancer]
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|style="padding:.4em;" rowspan=1|2016/9/27
|style="padding:.4em;"|2016-22
|style="padding:.4em;"|ER Kim
|style="padding:.4em;text-align:left"|
[http://www.ncbi.nlm.nih.gov/pubmed/27535533 Analysis of protein-coding genetic variation in 60,706 humans]
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|style="padding:.4em;" rowspan=1|2016/9/20
|style="padding:.4em;"|2016-21
|style="padding:.4em;"|SM Yang
|style="padding:.4em;text-align:left"|
Functional characterization of somatic mutations in cancer using network-based inference of protein activity
[http://www.ncbi.nlm.nih.gov/pubmed/27322546 pubmed]
[http://www.nature.com/ng/journal/v48/n8/full/ng.3593.html fulltext]
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|style="padding:.4em;" rowspan=1|2016/9/13
|style="padding:.4em;"|2016-20
|style="padding:.4em;"|KS Kim
|style="padding:.4em;text-align:left"|
[http://www.ncbi.nlm.nih.gov/pubmed/?term=exploiting+single-cell+expression+to+characterize Exploiting single-cell expression to characterize co-expression replicability.]
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|style="padding:.4em;" rowspan=1|2016/9/6
|style="padding:.4em;"|2016-19
|style="padding:.4em;"|T Lee
|style="padding:.4em;text-align:left"|
[http://www.ncbi.nlm.nih.gov/pubmed/26940869 Clonal neoantigens elicit T cell immunoreactivity and sensitivity to immune checkpoint blockade]
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|style="padding:.4em;" rowspan=1|2016/8/31
|style="padding:.4em;"|2016-18
|style="padding:.4em;"|DS Bae
|style="padding:.4em;text-align:left"|
[http://www.ncbi.nlm.nih.gov/pubmed/27264179 A Computational Drug Repositioning Approach for Targeting Oncogenic Transcription Factors]
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|style="padding:.4em;" rowspan=1|2016/8/16
|style="padding:.4em;"|2016-17
|style="padding:.4em;"|JW Cho
|style="padding:.4em;text-align:left"|
[http://www.ncbi.nlm.nih.gov/pubmed/27309802 The landscape of accessible chromatin in mammalian preimplantation embryos]
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|style="padding:.4em;" rowspan=1|2016/8/8
|style="padding:.4em;"|2016-16
|style="padding:.4em;"|EB Kim
|style="padding:.4em;text-align:left"|
[http://www.ncbi.nlm.nih.gov/pubmed/27064255 Enhancer-promoter interactions are encoded by complex genomic signatures on looping chromatin]
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|style="padding:.4em;" rowspan=1|2016/8/1
|style="padding:.4em;"|2016-15
|style="padding:.4em;"|MY Lee
|style="padding:.4em;text-align:left"|
[http://www.ncbi.nlm.nih.gov/pubmed/27040498 Personalized Immunomonitoring Uncovers Molecular Networks that Stratify Lupus Patients]
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|style="padding:.4em;" rowspan=1|2016/7/25
|style="padding:.4em;"|2016-14
|style="padding:.4em;"|CY Kim
|style="padding:.4em;text-align:left"|
[http://www.ncbi.nlm.nih.gov/pubmed/?term=integration+of+summary+data+from+gwas+and+eqtl+studies Integration of summary data from GWAS and eQTL studies predicts complex trait gene targets]
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|style="padding:.4em;" rowspan=1|2016/7/18
|style="padding:.4em;"|2016-13
|style="padding:.4em;"|HJ Han
|style="padding:.4em;text-align:left"|
[http://www.ncbi.nlm.nih.gov/pubmed/23624555 Identification of transcriptional regulators in the mouse immune system]
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|style="padding:.4em;" rowspan=2|2016/6/8
|style="padding:.4em;"|2016-12
|style="padding:.4em;"|DS Bae, CY Kim
|style="padding:.4em;text-align:left"|
[http://www.ncbi.nlm.nih.gov/pubmed/26619012 Mapping the effects of drugs on the immune system]
|-
|style="padding:.4em;"| 2016-11
|style="padding:.4em;"|DS Bae, CY Kim
|style="padding:.4em;text-align:left"|
[http://www.ncbi.nlm.nih.gov/pubmed/26186195 Elucidating compound mechanism of action by network perturbation analysis]
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|style="padding:.4em;" rowspan=2|2016/6/1
|style="padding:.4em;"|2016-10
|style="padding:.4em;"|MY Lee,SM Cho
|style="padding:.4em;text-align:left"|
[http://www.ncbi.nlm.nih.gov/pubmed/26854917 Integrative approaches for large-scale transcriptome-wide association studies]
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|style="padding:.4em;"| 2016-9
|style="padding:.4em;"|MY Lee,SM Cho
|style="padding:.4em;text-align:left"|
[http://www.ncbi.nlm.nih.gov/pubmed/26950747 Tissue-specific regulatory circuits reveal variable modular perturbations across complex diseases]
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|style="padding:.4em;" rowspan=2|2016/5/18
|style="padding:.4em;"|2016-8
|style="padding:.4em;"|CY Kim,SJ Kwon
|style="padding:.4em;text-align:left"|
[http://www.ncbi.nlm.nih.gov/pubmed/27013732 Survey of variation in human transcription factors reveals prevalent DNA binding changes]
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|style="padding:.4em;"| 2016-7
|style="padding:.4em;"| CY Kim,SJ Kwon
|style="padding:.4em;text-align:left"|
[http://www.ncbi.nlm.nih.gov/pubmed/26502339 Large-scale identification of sequence variants influencing human transcription factor occupancy in vivo]
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|style="padding:.4em;" rowspan=2|2016/5/11
|style="padding:.4em;"|2016-6
|style="padding:.4em;"|DS Bae, CY Kim
|style="padding:.4em;text-align:left"|
[http://www.ncbi.nlm.nih.gov/pubmed/25171417 Predicting Cancer-specific vulnerability via data-driven detection of synthetic lethality]
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|style="padding:.4em;"| 2016-5
|style="padding:.4em;"|DS Bae, CY Kim
|style="padding:.4em;text-align:left"|
[http://www.ncbi.nlm.nih.gov/pubmed/23467089 Dynamic regulatory network controlling Th17 cell differentiation]
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|style="padding:.4em;" rowspan=2|2016/5/4
|style="padding:.4em;"|2016-4
|style="padding:.4em;"|MY Lee,SM Cho
|style="padding:.4em;text-align:left"|
[http://www.ncbi.nlm.nih.gov/pubmed/25853550 Characterization of the immunophenotypes and antigenomes of colorectal cancers reveals distinct tumor escape mechanisms and novel targets for immunotherapy]
|-
|style="padding:.4em;"| 2016-3
|style="padding:.4em;"|MY Lee,SM Cho
|style="padding:.4em;text-align:left"|
[http://www.ncbi.nlm.nih.gov/pubmed/26618344 Regulators of genetic risk of breast cancer identified by integrative network analysis]
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|style="padding:.4em;" rowspan=2|2016/4/27
|style="padding:.4em;"|2016-2
|style="padding:.4em;"|CY Kim,SJ Kwon
|style="padding:.4em;text-align:left"|
[http://www.ncbi.nlm.nih.gov/pubmed/26780608 A predictive computational framework for direct reprogramming between human cell types]
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|style="padding:.4em;"| 2016-1
|style="padding:.4em;"| CY Kim,SJ Kwon
|style="padding:.4em;text-align:left"|
[http://www.ncbi.nlm.nih.gov/pubmed/25126793 CellNet: Network biology applied to stem cell engineering]
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{|class=wikitable style="text-align:center;"
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|style="padding:.4em;" rowspan=2|2015/06/11
|style="padding:.4em;"|2015-55
|style="padding:.4em;"|
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[http://genome.cshlp.org/content/24/2/340.long Improved exome prioritization of disease genes through cross-species phenotype comparison.]
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|style="padding:.4em;"|2015-54
|style="padding:.4em;"|
|style="padding:.4em;text-align:left"|
[http://www.sciencedirect.com/science/article/pii/S0002929714001128 Phevor combines multiple biomedical ontologies for accurate identification of disease-causing alleles in single individuals and small nuclear families.]
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|style="padding:.4em;" rowspan=2|2015/06/04
|style="padding:.4em;"|2015-53
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[http://www.nature.com/nmeth/journal/v10/n11/full/nmeth.2656.html eXtasy: variant prioritization by genomic data fusion.]
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|style="padding:.4em;"|2015-52
|style="padding:.4em;"|
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[http://genome.cshlp.org/content/21/9/1529.long A probabilistic disease-gene finder for personal genomes.]
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|style="padding:.4em;" rowspan=2|2015/05/28
|style="padding:.4em;"|2015-51
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[http://www.nature.com/ng/journal/v46/n12/full/ng.3141.html Systematic analysis of noncoding somatic mutations and gene expression alterations across 14 tumor types.]
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|style="padding:.4em;"|2015-50
|style="padding:.4em;"|
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[http://www.nature.com/nbt/journal/v28/n5/full/nbt.1630.html GREAT improves functional interpretation of cis-regulatory regions.]
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|style="padding:.4em;" rowspan=2|2015/05/21
|style="padding:.4em;"|2015-49
|style="padding:.4em;"|
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[http://www.nature.com/nmeth/journal/v11/n3/full/nmeth.2832.html Functional annotation of noncoding sequence variants.]
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|style="padding:.4em;"|2015-48
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[http://genomebiology.com/content/15/10/480 FunSeq2: A framework for prioritizing noncoding regulatory variants in cancer.]
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|style="padding:.4em;" rowspan=2|2015/05/14
|style="padding:.4em;"|2015-47
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[http://www.nature.com/nmeth/journal/v12/n2/full/nmeth.3215.html Selecting causal genes from genome-wide association studies via functionally coherent subnetworks.]
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|style="padding:.4em;"|2015-46
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[http://www.nature.com/ncomms/2015/150119/ncomms6890/full/ncomms6890.html Biological interpretation of genome-wide association studies using predicted gene functions.]
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|style="padding:.4em;" rowspan=3|2015/05/07
|style="padding:.4em;"|2015-45
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[http://www.nature.com/ncomms/2014/140626/ncomms5212/full/ncomms5212.html Human symptoms-disease network.]
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|style="padding:.4em;"|2015-44
|style="padding:.4em;"|
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[http://www.sciencedirect.com/science/article/pii/S0092867413010246 A nondegenerate code of deleterious variants in Mendelian loci contributes to complex disease risk.]
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|style="padding:.4em;"|2015-43
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[http://www.sciencemag.org/content/347/6224/1257601.long Uncovering disease-disease relationships through the incomplete interactome.]

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|style="padding:.4em;" rowspan=2|2015/04/30
|style="padding:.4em;"|2015-42
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[http://genome.cshlp.org/content/25/1/142.long The discovery of integrated gene networks for autism and related disorders.]
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|style="padding:.4em;"|2015-41
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[http://msb.embopress.org/content/10/12/774.long Integrated systems analysis reveals a molecular network underlying autism spectrum disorders.]
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|style="padding:.4em;" rowspan=3|2015/04/23
|style="padding:.4em;"|2015-40
|style="padding:.4em;"|
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[http://www.nature.com/nature/journal/v518/n7539/full/nature13990.html Dissecting neural differentiation regulatory networks through epigenetic footprinting.]
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|style="padding:.4em;"|2015-39
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[http://www.nature.com/nature/journal/v518/n7539/full/nature14221.html Cell-of-origin chromatin organization shapes the mutational landscape of cancer.]
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|style="padding:.4em;"|2015-38
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[http://www.nature.com/nature/journal/v518/n7539/full/nature14248.html Integrative analysis of 111 reference human epigenomes.]
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|style="padding:.4em;" rowspan=2|2015/04/09
|style="padding:.4em;"|2015-37
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[http://genome.cshlp.org/content/25/2/246.long Genome-wide analysis of local chromatin packing in Arabidopsis thaliana.]
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|style="padding:.4em;"|2015-36
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|style="padding:.4em;text-align:left"|
[http://www.sciencedirect.com/science/article/pii/S0092867414014974 A 3D map of the human genome at kilobase resolution reveals principles of chromatin looping.]
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|style="padding:.4em;" rowspan=2|2015/04/02
|style="padding:.4em;"|2015-35
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|style="padding:.4em;text-align:left"|
[http://www.nature.com/nrg/journal/v14/n6/full/nrg3454.html Exploring the three-dimensional organization of genomes: interpreting chromatin interaction data.]
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|style="padding:.4em;"|2015-34
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|style="padding:.4em;text-align:left"|
[http://www.sciencemag.org/content/347/6225/1010.long Transcribed enhancers lead waves of coordinated transcription in transitioning mammalian cells.]
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|style="padding:.4em;" rowspan=2|2015/03/26
|style="padding:.4em;"|2015-33
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|style="padding:.4em;text-align:left"|
[http://genome.cshlp.org/content/25/2/257.long Cupid: simultaneous reconstruction of microRNA-target and ceRNA networks.]
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|style="padding:.4em;"|2015-32
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[http://genome.cshlp.org/content/25/1/41.long Characterization of the neural stem cell gene regulatory network identifies OLIG2 as a multifunctional regulator of self-renewal.]
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|style="padding:.4em;" rowspan=2|2015/03/19
|style="padding:.4em;"|2015-31
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[http://www.nature.com/nbt/journal/vaop/ncurrent/full/nbt.3154.html Decoding the regulatory network of early blood development from single-cell gene expression measurements.]
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|style="padding:.4em;"|2015-30
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|style="padding:.4em;text-align:left"|
[http://www.nature.com/nrg/journal/v16/n3/full/nrg3833.html Computational and analytical challenges in single-cell transcriptomics.]
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|style="padding:.4em;" rowspan=3|2015/03/12
|style="padding:.4em;"|2015-29
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[http://www.sciencedirect.com/science/article/pii/S0092867415000136 Extensive Strain-Level Copy-Number Variation across Human Gut Microbiome Species.]
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|style="padding:.4em;"|2015-28
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[http://www.nature.com/nature/journal/v500/n7464/full/nature12506.html Richness of human gut microbiome correlates with metabolic markers.]
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|style="padding:.4em;"|2015-27
|style="padding:.4em;"|
|style="padding:.4em;text-align:left"|
[http://www.nature.com/nature/journal/v490/n7418/full/nature11450.html A metagenome-wide association study of gut microbiota in type 2 diabetes.]
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|style="padding:.4em;" rowspan=3|2015/03/09
|style="padding:.4em;"|2015-26
|style="padding:.4em;"|HJ Han
|style="padding:.4em;text-align:left"|
[http://www.ploscompbiol.org/article/info%3Adoi%2F10.1371%2Fjournal.pcbi.1003326 Practical guidelines for the comprehensive analysis of ChIP-seq data.]
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|style="padding:.4em;"|2015-25
|style="padding:.4em;"|T Lee
|style="padding:.4em;text-align:left"|
[http://genome.cshlp.org/content/23/5/777.long Patterns of regulatory activity across diverse human cell types predict tissue identity, transcription factor binding, and long-range interactions.]
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|style="padding:.4em;"|2015-24
|style="padding:.4em;"|ER Kim
|style="padding:.4em;text-align:left"|
[http://msb.embopress.org/content/10/11/760.long Rapid neurogenesis through transcriptional activation in human stem cells.]
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|style="padding:.4em;" rowspan=3|2015/03/02
|style="padding:.4em;"|2015-23
|style="padding:.4em;"|DS Bae
|style="padding:.4em;text-align:left"|
[http://www.sciencedirect.com/science/article/pii/S0092867414011787 Genome-Scale CRISPR-Mediated Control of Gene Repression and Activation.]
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|style="padding:.4em;"|2015-22
|style="padding:.4em;"|CY Kim
|style="padding:.4em;text-align:left"|
[http://www.plosgenetics.org/article/info%3Adoi%2F10.1371%2Fjournal.pgen.1004237 Integrating multiple genomic data to predict disease-causing nonsynonymous single nucleotide variants in exome sequencing studies.]
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|style="padding:.4em;"|2015-21
|style="padding:.4em;"|ER Kim
|style="padding:.4em;text-align:left"|
[http://www.nature.com/ng/journal/v45/n6/full/ng.2653.html The Genotype-Tissue Expression (GTEx) project.]
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|style="padding:.4em;" rowspan=3|2015/02/24
|style="padding:.4em;"|2015-20
|style="padding:.4em;"|ER Kim
|style="padding:.4em;text-align:left"|
[http://www.sciencemag.org/content/346/6212/1007.long Mouse regulatory DNA landscapes reveal global principles of cis-regulatory evolution.]
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|style="padding:.4em;"|2015-19
|style="padding:.4em;"|KS Kim
|style="padding:.4em;text-align:left"|
[http://www.nature.com/nature/journal/v515/n7527/full/nature13985.html Principles of regulatory information conservation between mouse and human.]
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|style="padding:.4em;"|2015-18
|style="padding:.4em;"|BH Kang
|style="padding:.4em;text-align:left"|
[http://www.nature.com/nature/journal/v515/n7527/full/nature13972.html Conservation of trans-acting circuitry during mammalian regulatory evolution.]
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|style="padding:.4em;" rowspan=3|2015/02/16
|style="padding:.4em;"|2015-17
|style="padding:.4em;"|T Lee
|style="padding:.4em;text-align:left"|
[http://www.nature.com/nature/journal/vaop/ncurrent/full/nature13835.html Genetic and epigenetic fine mapping of causal autoimmune disease variants.]
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|style="padding:.4em;"|2015-16
|style="padding:.4em;"|CY Kim
|style="padding:.4em;text-align:left"|
[http://www.nature.com/ng/journal/v46/n3/full/ng.2892.html A general framework for estimating the relative pathogenicity of human genetic variants.]
|-
|style="padding:.4em;"|2015-15
|style="padding:.4em;"|CY Kim
|style="padding:.4em;text-align:left"|
[http://www.ploscompbiol.org/article/info%3Adoi%2F10.1371%2Fjournal.pcbi.1003825 A probabilistic model to predict clinical phenotypic traits from genome sequencing.]
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|style="padding:.4em;" rowspan=4|2015/02/02
|style="padding:.4em;"|2015-14
|style="padding:.4em;"|BH Kang
|style="padding:.4em;text-align:left"|
[http://www.pnas.org/content/111/22/E2329.long Relating the metatranscriptome and metagenome of the human gut.]
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|style="padding:.4em;"|2015-13
|style="padding:.4em;"|BH Kang
|style="padding:.4em;text-align:left"|
[http://www.nature.com/nature/journal/v513/n7516/full/nature13568.html Alterations of the human gut microbiome in liver cirrhosis.]
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|style="padding:.4em;"|2015-12
|style="padding:.4em;"|CY Kim
|style="padding:.4em;text-align:left"|
[http://www.nature.com/nbt/journal/v32/n8/full/nbt.2942.html An integrated catalog of reference genes in the human gut microbiome.]
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|style="padding:.4em;"|2015-11
|style="padding:.4em;"|CY Kim
|style="padding:.4em;text-align:left"|
[http://www.nature.com/nbt/journal/v32/n8/full/nbt.2939.html Identification and assembly of genomes and genetic elements in complex metagenomic samples without using reference genomes.]
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|style="padding:.4em;" rowspan=5|2015/01/26
|style="padding:.4em;"|2015-10
|style="padding:.4em;"|HH Kim
|style="padding:.4em;text-align:left"|
[http://msb.embopress.org/content/9/1/666.long Computational meta'omics for microbial community studies.]
|-
|style="padding:.4em;"|2015-09
|style="padding:.4em;"|HH Kim
|style="padding:.4em;text-align:left"|
[http://genomemedicine.com/content/5/7/65 Functional profiling of the gut microbiome in disease-associated inflammation.]
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|style="padding:.4em;"|2015-08
|style="padding:.4em;"|BH Kang
|style="padding:.4em;text-align:left"|
[http://www.sciencedirect.com/science/article/pii/S016895251200145X Biodiversity and functional genomics in the human microbiome.]
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|style="padding:.4em;"|2015-07
|style="padding:.4em;"|BH Kang
|style="padding:.4em;text-align:left"|
[http://www.ploscompbiol.org/article/info%3Adoi%2F10.1371%2Fjournal.pcbi.1002808 Chapter 12: Human Microbiome Analysis.]
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|style="padding:.4em;"|2015-06
|style="padding:.4em;"|BH Kang
|style="padding:.4em;text-align:left"|
[http://www.cell.com/cell/abstract/S0092-8674%2814%2900864-2 Conducting a Microbiome Study.]
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|style="padding:.4em;" rowspan=3|2015/01/12
|style="padding:.4em;"|2015-05
|style="padding:.4em;"|KS Kim
|style="padding:.4em;text-align:left"|
[http://www.nature.com/ncomms/2014/141210/ncomms6522/full/ncomms6522.html Small RNA changes en route to distinct cellular states of induced pluripotency.]
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|style="padding:.4em;"|2015-04
|style="padding:.4em;"|DS Bae
|style="padding:.4em;text-align:left"|
[http://www.nature.com/nature/journal/v516/n7530/full/nature14046.html Genome-wide characterization of the routes to pluripotency.]
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|style="padding:.4em;"|2015-03
|style="padding:.4em;"|DS Bae
|style="padding:.4em;text-align:left"|
[http://www.nature.com/nature/journal/v516/n7530/full/nature14047.html Divergent reprogramming routes lead to alternative stem-cell states.]
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|style="padding:.4em;" rowspan=2|2015/01/05
|style="padding:.4em;"|2015-02
|style="padding:.4em;"|HJ Han
|style="padding:.4em;text-align:left"|
[http://www.pnas.org/content/111/21/E2191.long Global view of enhancer-promoter interactome in human cells.]
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|style="padding:.4em;"|2015-01
|style="padding:.4em;"|HJ Han
|style="padding:.4em;text-align:left"|
[http://nar.oxfordjournals.org/content/41/22/10391.long Combining Hi-C data with phylogenetic correlation to predict the target genes of distal regulatory elements in human genome.]
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{|class=wikitable style="text-align:center;"
|+style="text-align:left;font-size:12pt" | 2014
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!scope="col" style="padding:.4em" | Date
!scope="col" style="padding:.4em" | Paper index
!scope="col" style="padding:.4em" | Presenter
!scope="col" style="padding:.4em" | Paper title
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|style="padding:.4em;" rowspan=2|2014/12/23
|style="padding:.4em;"|2014-41
|style="padding:.4em;"|CY Kim
|style="padding:.4em;text-align:left"|
[http://www.sciencedirect.com/science/article/pii/S0092867413012270 Super-enhancers in the control of cell identity and disease.]
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|style="padding:.4em;"|2014-40
|style="padding:.4em;"|CY Kim
|style="padding:.4em;text-align:left"|
[http://www.sciencedirect.com/science/article/pii/S0092867413003929 Master transcription factors and mediator establish super-enhancers at key cell identity genes.]
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|style="padding:.4em;" rowspan=4|2014/12/09
|style="padding:.4em;"|2014-39
|style="padding:.4em;"|HH Kim
|style="padding:.4em;text-align:left"|
[http://www.sciencedirect.com/science/article/pii/S0092867414013713 Unraveling the biology of a fungal meningitis pathogen using chemical genetics.]
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|style="padding:.4em;"|2014-38
|style="padding:.4em;"|JE Shim
|style="padding:.4em;text-align:left"|
[http://www.sciencedirect.com/science/article/pii/S0092867414014226 A proteome-scale map of the human interactome network.]
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|style="padding:.4em;"|2014-37
|style="padding:.4em;"|JE Shim
|style="padding:.4em;text-align:left"|
[http://msb.embopress.org/content/10/9/752.long The role of the interactome in the maintenance of deleterious variability in human populations.]
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|style="padding:.4em;"|2014-36
|style="padding:.4em;"|HS Shim
|style="padding:.4em;text-align:left"|
[http://www.sciencemag.org/content/342/6154/1235587.long Integrative annotation of variants from 1092 humans: application to cancer genomics.]
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|style="padding:.4em;" rowspan=2|2014/12/02
|style="padding:.4em;"|2014-35
|style="padding:.4em;"|HJ Han
|style="padding:.4em;text-align:left"|
[http://genome.cshlp.org/content/23/8/1319.long Mapping functional transcription factor networks from gene expression data.]
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|style="padding:.4em;"|2014-34
|style="padding:.4em;"|KS Kim
|style="padding:.4em;text-align:left"|
[http://www.nature.com/nrg/journal/v15/n7/full/nrg3684.html In pursuit of design principles of regulatory sequences.]
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|style="padding:.4em;" rowspan=2|2014/11/25
|style="padding:.4em;"|2014-33
|style="padding:.4em;"|KS Kim
|style="padding:.4em;text-align:left"|
[http://genomemedicine.com/content/3/6/36 Epigenomics of human embryonic stem cells and induced pluripotent stem cells: insights into pluripotency and implications for disease.]
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|style="padding:.4em;"|2014-32
|style="padding:.4em;"|HJ Han
|style="padding:.4em;text-align:left"|
[http://www.sciencedirect.com/science/article/pii/S009286741300891X Developmental fate and cellular maturity encoded in human regulatory DNA landscapes.]
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|style="padding:.4em;" rowspan=2|2014/11/18
|style="padding:.4em;"|2014-31
|style="padding:.4em;"|SM Yang
|style="padding:.4em;text-align:left"|
[http://genomemedicine.com/content/6/8/64 The 'dnet' approach promotes emerging research on cancer patient survival.]
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|style="padding:.4em;"|2014-30
|style="padding:.4em;"|HJ Han
|style="padding:.4em;text-align:left"|
[http://www.sciencedirect.com/science/article/pii/S0092867414010368 Determination and inference of eukaryotic transcription factor sequence specificity.]
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|style="padding:.4em;" rowspan=3|2014/11/11
|style="padding:.4em;"|2014-29
|style="padding:.4em;"|DS Bae
|style="padding:.4em;text-align:left"|
[http://www.pnas.org/content/110/16/6412.long Transcription factors interfering with dedifferentiation induce cell type-specific transcriptional profiles.]
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|style="padding:.4em;"|2014-28
|style="padding:.4em;"|HH Kim
|style="padding:.4em;text-align:left"|
[http://www.sciencedirect.com/science/article/pii/S0092867414009350 Dissecting engineered cell types and enhancing cell fate conversion via CellNet.]
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|style="padding:.4em;"|2014-27
|style="padding:.4em;"|HH Kim
|style="padding:.4em;text-align:left"|
[http://www.sciencedirect.com/science/article/pii/S0092867414009349 CellNet: network biology applied to stem cell engineering.]
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|style="padding:.4em;" rowspan=2|2014/11/04
|style="padding:.4em;"|2014-26
|style="padding:.4em;"|HS Shim
|style="padding:.4em;text-align:left"|
[http://www.sciencedirect.com/science/article/pii/S0092867414009775 Predicting Cancer-Specific Vulnerability via Data-Driven Detection of Synthetic Lethality.]
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|style="padding:.4em;"|2014-25
|style="padding:.4em;"|JH Shin
|style="padding:.4em;text-align:left"|
[http://www.nature.com/nmeth/journal/v11/n9/full/nmeth.3046.html Phen-Gen: combining phenotype and genotype to analyze rare disorders.]
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|style="padding:.4em;" rowspan=2|2014/10/28
|style="padding:.4em;"|2014-24
|style="padding:.4em;"|HJ Han
|style="padding:.4em;text-align:left"|
[http://www.nature.com/nbt/journal/vaop/ncurrent/full/nbt.2877.html A community effort to assess and improve drug sensitivity prediction algorithms.]
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|style="padding:.4em;"|2014-23
|style="padding:.4em;"|HS Shim
|style="padding:.4em;text-align:left"|
[http://www.nature.com/ng/journal/v46/n9/full/ng.3051.html Multi-tiered genomic analysis of head and neck cancer ties TP53 mutation to 3p loss.]
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|style="padding:.4em;" rowspan=2|2014/09/30
|style="padding:.4em;"|2014-22
|style="padding:.4em;"|JE Shim
|style="padding:.4em;text-align:left"|
[http://www.nature.com/nmeth/journal/v10/n11/full/nmeth.2651.html Network-based stratification of tumor mutations.]
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|style="padding:.4em;"|2014-21
|style="padding:.4em;"|KS Kim
|style="padding:.4em;text-align:left"|
[http://www.sciencedirect.com/science/article/pii/S0092867414001457 Synonymous mutations frequently act as driver mutations in human cancers.]
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|style="padding:.4em;" rowspan=2|2014/09/23
|style="padding:.4em;"|2014-20
|style="padding:.4em;"|CY Kim
|style="padding:.4em;text-align:left"|
[http://www.ploscompbiol.org/article/info%3Adoi%2F10.1371%2Fjournal.pcbi.1003460 VarWalker: Personalized Mutation Network Analysis of Putative Cancer Genes from Next-Generation Sequencing Data.]
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|style="padding:.4em;"|2014-19
|style="padding:.4em;"|HJ Han
|style="padding:.4em;text-align:left"|
[http://genomebiology.com/content/13/12/R124 DriverNet: uncovering the impact of somatic driver mutations on transcriptional networks in cancer.]
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|style="padding:.4em;" rowspan=2|2014/09/16
|style="padding:.4em;"|2014-18
|style="padding:.4em;"|JH Shin
|style="padding:.4em;text-align:left"|
[http://genomebiology.com/content/14/5/R52 Integrated analysis of recurrent properties of cancer genes to identify novel drivers.]
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|style="padding:.4em;"|2014-17
|style="padding:.4em;"|AR Cho
|style="padding:.4em;text-align:left"|
[http://genomemedicine.com/content/4/11/89 Improving the prediction of the functional impact of cancer mutations by baseline tolerance transformation.]
|-
|style="padding:.4em;" rowspan=2|2014/09/02
|style="padding:.4em;"|2014-16
|style="padding:.4em;"|JE Shim
|style="padding:.4em;text-align:left"|
[http://www.ncbi.nlm.nih.gov/pubmed/?term=23228031 A network module-based method for identifying cancer prognostic signatures.]
|-
|style="padding:.4em;"|2014-15
|style="padding:.4em;"|AR Cho
|style="padding:.4em;text-align:left"|
[http://www.ncbi.nlm.nih.gov/pubmed/?term=24429628 Realizing the promise of cancer predisposition genes.]
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|style="padding:.4em;" rowspan=2|2014/08/19
|style="padding:.4em;"|2014-14
|style="padding:.4em;"|JE Shim
|style="padding:.4em;text-align:left"|
[http://www.ncbi.nlm.nih.gov/pubmed/?term=24952901 Assessing the clinical utility of cancer genomic and proteomic data across tumor types.]
|-
|style="padding:.4em;"|2014-13
|style="padding:.4em;"|HS Shim
|style="padding:.4em;text-align:left"|
[http://www.ncbi.nlm.nih.gov/pubmed/?term=24132290 Mutational landscape and significance across 12 major cancer types.]
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|style="padding:.4em;" rowspan=2|2014/08/12
|style="padding:.4em;"|2014-12
|style="padding:.4em;"|HS Shim
|style="padding:.4em;text-align:left"|
[http://www.ncbi.nlm.nih.gov/pubmed/23945592 Signatures of mutational processes in human cancer.]
|-
|style="padding:.4em;"|2014-11
|style="padding:.4em;"|HJ Kim
|style="padding:.4em;text-align:left"|
[http://www.ncbi.nlm.nih.gov/pubmed/24390350 Discovery and saturation analysis of cancer genes across 21 tumour types.]
|-
|style="padding:.4em;" rowspan=2|2014/08/05
|style="padding:.4em;"|2014-10
|style="padding:.4em;"|CY Kim
|style="padding:.4em;text-align:left"|
[http://www.ncbi.nlm.nih.gov/pubmed/?term=24084849 Comprehensive identification of mutational cancer driver genes across 12 tumor types.]
|-
|style="padding:.4em;"|2014-9
|style="padding:.4em;"|JE Shim
|style="padding:.4em;text-align:left"|
[http://www.ncbi.nlm.nih.gov/pubmed/?term=24037244 IntOGen-mutations identifies cancer drivers across tumor types.]
|-
|style="padding:.4em;" rowspan=3|2014/07/29
|style="padding:.4em;"|2014-8
|style="padding:.4em;"|CY Kim
|style="padding:.4em;text-align:left"|
[http://www.ncbi.nlm.nih.gov/pubmed/23900255 Computational approaches to identify functional genetic variants in cancer genomes.]
|-
|style="padding:.4em;"|2014-7
|style="padding:.4em;"|AR Cho
|style="padding:.4em;text-align:left"|
[http://www.ncbi.nlm.nih.gov/pubmed/?term=23770567 Mutational heterogeneity in cancer and the search for new cancer-associated genes.]
|-
|style="padding:.4em;"|2014-6
|style="padding:.4em;"|AR Cho
|style="padding:.4em;text-align:left"|
[http://www.nature.com/nmeth/journal/v11/n4/abs/nmeth.2891.html Cancer genomes: discerning drivers from passengers]
|-
|style="padding:.4em;" rowspan=3|2014/07/22
|style="padding:.4em;"|2014-5
|style="padding:.4em;"|AR Cho
|style="padding:.4em;text-align:left"|
[http://www.ncbi.nlm.nih.gov/pubmed/24071849 The Cancer Genome Atlas Pan-Cancer analysis project.]
|-
|style="padding:.4em;"|2014-4
|style="padding:.4em;"|AR Cho
|style="padding:.4em;text-align:left"|
[http://www.ncbi.nlm.nih.gov/pubmed/23539594 Cancer genome landscapes.]
|-
|style="padding:.4em;"|2014-3
|style="padding:.4em;"|AR Cho
|style="padding:.4em;text-align:left"|
[http://www.ncbi.nlm.nih.gov/pubmed/?term=21900272 Distinguishing driver and passenger mutations in an evolutionary history categorized by interference.]
|-
|style="padding:.4em;" rowspan=2|2014/07/15
|style="padding:.4em;"|2014-2
|style="padding:.4em;"|HJ Han
|style="padding:.4em;text-align:left"|
[http://www.ncbi.nlm.nih.gov/pubmed/?term=24670764 A promoter-level mammalian expression atlas.]
|-
|style="padding:.4em;"|2014-1
|style="padding:.4em;"|HJ Han
|style="padding:.4em;text-align:left"|
[http://www.ncbi.nlm.nih.gov/pubmed/?term=24670763 An atlas of active enhancers across human cell types and tissues.]
|}
{|class=wikitable style="text-align:center;"
|+style="text-align:left;font-size:12pt" | 2013
|-
!scope="col" style="padding:.4em" | Date
!scope="col" style="padding:.4em" | Paper index
!scope="col" style="padding:.4em" | Presenter
!scope="col" style="padding:.4em" | Paper title
|-
|style="padding:.4em;" rowspan=2|2013/06/26
|style="padding:.4em;"|2013-31
|style="padding:.4em;"|HJ Han
|style="padding:.4em;text-align:left"|[http://nar.oxfordjournals.org/content/40/16/7690.long Integration of Hi-C and ChIP-seq data reveals distinct types of chromatin linkages]
|-
|style="padding:.4em;"|2013-30
|style="padding:.4em;"|YH Ko
|style="padding:.4em;text-align:left"|[http://www.nature.com/nbt/journal/v31/n4/full/nbt.2519.html Deciphering molecular circuits from genetic variation underlying transcriptional responsiveness to stimuli]
|-
|style="padding:.4em;" rowspan=2|2013/06/04
|style="padding:.4em;"|2013-29
|style="padding:.4em;"|KS Kim
|style="padding:.4em;text-align:left"|[https://www.cell.com/abstract/S0092-8674(13)00439-X Mapping the Human miRNA Interactome by CLASH Reveals Frequent Noncanonical Binding]
|-
|style="padding:.4em;"|2013-28
|style="padding:.4em;"|ER Kim
|style="padding:.4em;text-align:left"|[http://www.nature.com/nbt/journal/v31/n3/full/nbt.2514.html Sensitive detection of somatic point mutations in impure and heterogeneous cancer samples]
|-
|style="padding:.4em;" rowspan=2|2013/05/28
|style="padding:.4em;"|2013-27
|style="padding:.4em;"|YH Ko
|style="padding:.4em;text-align:left"|[http://www.pnas.org/content/102/38/13544.long Discovering statistically significant pathways in expression profiling studies]
|-
|style="padding:.4em;"|2013-26
|style="padding:.4em;"|JE Shim
|style="padding:.4em;text-align:left"|[http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0058977 Prediction and Validation of Gene-Disease Associations Using Methods Inspired by Social Network Analyses]
|-
|style="padding:.4em;" rowspan=2|2013/05/21
|style="padding:.4em;"|2013-25
|style="padding:.4em;"|HJ Han
|style="padding:.4em;text-align:left"|[http://www.nature.com/nature/journal/v496/n7446/full/nature11981.html Dynamic regulatory network controlling TH17 cell differentiation]
|-
|style="padding:.4em;"|2013-24
|style="padding:.4em;"|T Lee
|style="padding:.4em;text-align:left"|[http://www.sciencedirect.com/science/article/pii/S0092867412013529 Deciphering and Prediction of Transcriptome Dynamics under Fluctuating Field Conditions]

|-
|style="padding:.4em;" rowspan=2|2013/05/14
|style="padding:.4em;"|2013-23
|style="padding:.4em;"|JE Shim
|style="padding:.4em;text-align:left"|[http://www.sciencedirect.com/science/article/pii/S0092867412015565 Integrative eQTL-Based Analyses Reveal the Biology of Breast Cancer Risk Loci]

|-
|style="padding:.4em;"|2013-22
|style="padding:.4em;"|HJ Kim
|style="padding:.4em;text-align:left"|[http://www.nature.com/ng/journal/v45/n2/full/ng.2504.html Chromatin marks identify critical cell types for fine mapping complex trait variants]
|-
|style="padding:.4em;" rowspan=2|'''2013/05/07'''
|style="padding:.4em;"|2013-21
|style="padding:.4em;"|ER Kim
|style="padding:.4em;text-align:left"|[http://www.cell.com/abstract/S0092-8674(12)01555-3 Genome-wide Chromatin State Transitions Associated with Developmental and Environmental Cues]
|-
|style="padding:.4em;"|2013-20
|style="padding:.4em;"|HS Shim
|style="padding:.4em;text-align:left"|[http://www.plosgenetics.org/article/info%3Adoi%2F10.1371%2Fjournal.pgen.1003201 Human Disease-Associated Genetic Variation Impacts Large Intergenic Non-Coding RNA Expression]
|-
|style="padding:.4em;"|2013/04/09
|style="padding:.4em;"|2013-19
|style="padding:.4em;"|HJ Kim
|style="padding:.4em;text-align:left"|[http://genome.cshlp.org/content/22/9/1790.long Annotation of functional variation in personal genomes using RegulomeDB]
|-
|style="padding:.4em;"|2013/04/02
|style="padding:.4em;"|2013-18
|style="padding:.4em;"|HJ Kim
|style="padding:.4em;text-align:left"|[http://genome.cshlp.org/content/22/9/1775.long The GENCODE v7 catalog of human long noncoding RNAs: Analysis of their gene structure, evolution, and expression]
|-
|style="padding:.4em;" |2013/03/12
|style="padding:.4em;"|2013-17
|style="padding:.4em;"| ER Kim
|style="padding:.4em;text-align:left"|[http://www.plosgenetics.org/article/info%3Adoi%2F10.1371%2Fjournal.pgen.1002311 Global Mapping of Cell Type–Specific Open Chromatin by FAIRE-seq Reveals the Regulatory Role of the NFI Family in Adipocyte Differentiation]
|-
|style="padding:.4em;" rowspan=1|2013/03/05
|style="padding:.4em;"|2013-16
|style="padding:.4em;"| ER Kim
|style="padding:.4em;text-align:left"|[http://www.nature.com/nrg/journal/v10/n10/full/nrg2641.html ChIP–seq: advantages and challenges of a maturing technology]
|-
|style="padding:.4em;" rowspan=3|2013/02/21
|style="padding:.4em;"|2013-15
|style="padding:.4em;"| KS Kim
|style="padding:.4em;text-align:left"|[http://www.ploscompbiol.org/article/info%3Adoi%2F10.1371%2Fjournal.pcbi.1002830 Novel Modeling of Combinatorial miRNA Targeting Identifies SNP with Potential Role in Bone Density]
|-
|style="padding:.4em;"|2013-14
|style="padding:.4em;"| KS Kim
|style="padding:.4em;text-align:left"|[http://www.cell.com/abstract/S0092-8674(12)01424-9 A Molecular Roadmap of Reprogramming Somatic Cells into iPS Cells]
|-
|style="padding:.4em;"|2013-13
|style="padding:.4em;"| HJ Han
|style="padding:.4em;text-align:left"|[http://genome.cshlp.org/content/22/6/1015.long Differential DNase I hypersensitivity reveals factor-dependent chromatin dynamics.]
|-
|style="padding:.4em;" rowspan=3|2013/02/15
|style="padding:.4em;"|2013-12
|style="padding:.4em;"| HJ Han
|style="padding:.4em;text-align:left"|[http://www.nature.com/ng/journal/v43/n3/full/ng.759.html Chromatin accessibility pre-determines glucocorticoid receptor binding patterns]
|-
|style="padding:.4em;"|2013-11
|style="padding:.4em;"| JE Shim, CY Kim
|style="padding:.4em;text-align:left"|[http://www.nature.com/nbt/journal/v30/n11/full/nbt.2422.html Interpreting noncoding genetic variation in complex traits and human disease]
|-
|style="padding:.4em;"|2013-10
|style="padding:.4em;"|HJ Han, JH Kim
|style="padding:.4em;text-align:left"|[http://genome.cshlp.org/content/21/3/447.full.pdf+html Accurate inference of transcription factor binding from DNA sequence and chromatin accessibility data]
|-
|style="padding:.4em;" rowspan=3|2013/02/08
|style="padding:.4em;"|2013-09
|style="padding:.4em;"|HJ Kim
|style="padding:.4em;text-align:left"|[http://www.plosgenetics.org/article/info%3Adoi%2F10.1371%2Fjournal.pgen.1002599 Widespread Site-Dependent Buffering of Human Regulatory Polymorphism]
|-
|style="padding:.4em;"|2013-08
|style="padding:.4em;"|JE Shim, CY Kim
|style="padding:.4em;text-align:left;"|[http://genome.cshlp.org/content/22/9/1748.long Linking disease associations with regulatory information in the human genome]
|-
|style="padding:.4em;"|2013-07
|style="padding:.4em;"|HJ Han, JH Kim
|style="padding:.4em;text-align:left"|[http://genome.cshlp.org/content/22/9/1658.long Understanding transcriptional regulation by integrative analysis of transcription factor binding data]
|-
|style="padding:.4em;" rowspan=3|2013/01/25
|style="padding:.4em;"|2013-06
|style="padding:.4em;"|HJ Han, '''JH Kim'''
|style="padding:.4em;text-align:left;"|[http://www.nature.com/nature/journal/v489/n7414/full/nature11279.html The long-range interaction landscape of gene promoters]
|-
|style="padding:.4em;"|2013-05
|style="padding:.4em;"|'''ER Kim''', HS Shim
|style="padding:.4em;text-align:left;"|[http://www.nature.com/nature/journal/v489/n7414/full/nature11233.html Landscape of transcription in human cells]
|-
|style="padding:.4em;"|2013-04
|style="padding:.4em;"|'''HJ Han''', JH Kim
|style="padding:.4em;text-align:left;"|[http://www.nature.com/nature/journal/v489/n7414/full/nature11245.html Architecture of the human regulatory network derived from ENCODE data]

|-
|style="padding:.4em;" rowspan=2|2013/01/18
|style="padding:.4em;"|2013-03
|style="padding:.4em;"|KS Kim, '''TH Kim'''
|style="padding:.4em;text-align:left;"|[http://www.nature.com/nature/journal/v489/n7414/full/nature11212.html An expansive human regulatory lexicon encoded in transcription factor footprints]
|-
|style="padding:.4em;"|2013-02
|style="padding:.4em;"|'''HJ Han''', JH Kim
|style="padding:.4em;text-align:left;"|[http://www.nature.com/nature/journal/v489/n7414/full/nature11232.html The accessible chromatin landscape of the human genome]
|-
|style="padding:.4em;" rowspan=1|2013/01/11
|style="padding:.4em;"|2013-01
|style="padding:.4em;"| '''JE Shim''', CY Kim
|style="padding:.4em;text-align:left"|[http://www.nature.com/nature/journal/v489/n7414/full/nature11247.html An integrated encyclopedia of DNA elements in the human genome]
|}

2012
{|border ="1"
|style="color:black; background-color:#dcdcdc; padding:5px;" align="center" |Date
|style="color:black; background-color:#dcdcdc;" align="center"|Paper index
|style="color:black; background-color:#dcdcdc;" align="center"|Paper title
|-
|rowspan = "1"|2013/01/11
|align ="center"|2012-81
|[http://genome.cshlp.org/content/22/8/1589.full (TH Kim) MuSiC: identifying mutational significance in cancer genomes.]
|-
|rowspan = "1"|2012/12/04
|align ="center"|2012-80
|[http://genome.cshlp.org/content/22/8/1383 (CY KIM) Human genomic disease variants: A neutral evolutionary explanation]
|-
|rowspan = "2"|2012/11/20
| align="center"|2012-79
|[http://www.cell.com/abstract/S0092-8674(12)00639-3 (HS Shim) Circuitry and Dynamics of Human Transcription Factor Regulatory Networks]
|-
| align="center"|2012-78
|[http://www.nature.com/nature/journal/v487/n7408/full/nature11288.html (HJ Kim) Interpreting cancer genomes using systematic host network perturbations by tumour virus proteins]
|-
|rowspan = "2"|2012/11/06
| align="center"|2012-77
|[http://www.sciencemag.org/content/337/6099/1190.short (HJ Han) Systematic Localization of Common Disease-Associated Variation in Regulatory DNA]
|-
| align="center"|2012-76
|[http://www.pnas.org/cgi/doi/10.1073/pnas.1201904109 (KS Kim) A public resource facilitating clinical use of genomes]
|-
|rowspan = "6" |2012/07/19
| align="center"|2012-75
|[http://genome.cshlp.org/content/22/7/1334 (HJ Han & YH Ko) Predictive regulatory models in Drosophila melanogaster by integrative inference of transcriptional networks]
|-
| align="center"|2012-74
|[http://www.sciencemag.org/content/337/6090/100.full (JE Shim) An Abundance of Rare Functional Variants in 202 Drug Target Genes Sequenced in 14,002 People]
|-
| align="center"|2012-73
|[http://www.sciencemag.org/content/337/6090/64.abstract (JE Shim) Evolution and Functional Impact of Rare Coding Variation from Deep Sequencing of Human Exomes]
|-
| align="center"|2012-72
|[http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2063581/ (SH Hwang) Network-based classification of breast cancer metastasis]
|-
| align="center"|2012-71
|[http://www.plosgenetics.org/article/info%3Adoi%2F10.1371%2Fjournal.pgen.1002707 (T Lee&CY Kim)Brain Expression Genome-Wide Association Study (eGWAS) Identifies Human Disease-Associated Variants]
|-
| align="center"|2012-70
|[http://genome.cshlp.org/content/20/9/1297 (ER Kim&TH Kim)The Genome Analysis Toolkit: A MapReduce framework for analyzing next-generation DNA sequencing data]
|-
|rowspan = "8" |2012/07/16
| align="center"|2012-69
|[http://www.nature.com/ng/journal/v43/n5/full/ng.806.html (ER Kim&TH Kim)A framework for variation discovery and genotyping using next-generation DNA sequencing data]
|-
| align="center"|2012-66
|[http://bioinformatics.oxfordjournals.org/content/25/16/2078.long (ER Kim&TH Kim)The Sequence Alignment/Map format and SAMtools]
|-
| align="center"|2012-65
|[http://bioinformatics.oxfordjournals.org/content/early/2011/06/07/bioinformatics.btr330 (ER Kim&TH Kim)The Variant Call Format and VCFtools]
|-
| align="center"|2012-64
|[http://www.cell.com/abstract/S0092-8674(12)00104-3 (YH Go&HJ Han)The Impact of the Gut Microbiota on Human Health: An Integrative View]
|-
|align="center"|2012-63
|[http://www.sciencemag.org/content/336/6086/1262.abstract (T Lee&CY Kim)Host-Gut Microbiota Metabolic Interactions]
|-
|align="center"|2012-62
|[http://www.sciencemag.org/content/336/6086/1268.full (AR Cho,JH Ju)Interactions Between the Microbiota and the Immune System]
|-
|align="center"|2012-61
|[http://www.sciencemag.org/content/336/6086/1255.abstract (SH Hwang&HJ Cho)The Application of Ecological Theory Toward an Understanding of the Human Microbiome]
|-
|align="center"|2012-60
|[http://stm.sciencemag.org/content/4/137/137rv5 (SH Hwang&HJ Cho)Microbiota-Targeted Therapies: An Ecological Perspective]
|-
|rowspan = "3" |2012/07/13
|align="center"|2012-59
|[http://www.ploscompbiol.org/article/info%3Adoi%2F10.1371%2Fjournal.pcbi.1002358 (JH Shin&HJ Kim)Metabolic Reconstruction for Metagenomic Data and Its Application to the Human Microbiome]
|-
| align="center"|2012-58
|[http://www.nature.com/nature/journal/v486/n7402/full/nature11209.html (JH Shin&HJ Kim)A framework for human microbiome research]
|-
|align="center"|2012-57
|[http://www.nature.com/nature/journal/v486/n7402/full/nature11234.html (JH Shin&HJ Kim)Structure, function and diversity of the healthy human microbiome]
|-
|rowspan = "4" |2012/07/12
|align="center"|2012-56
|[http://nar.oxfordjournals.org/content/40/D1/D957.long (AR Cho&JH Ju)COLT-Cancer: functional genetic screening resource for essential genes in human cancer cell lines]
|-
|align="center"|2012-55
|[http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1002511 (YH Go&HJ Han)Google Goes Cancer: Improving Outcome Prediction for Cancer Patients by Network-Based Ranking of Marker Genes]
|-
| align="center"|2012-54
|[http://www.nature.com/msb/journal/v7/n1/full/msb201147.html (YH Go&HJ Han)A pharmacogenomic method for individualized prediction of drug sensitivity]
|-
|align="center"|2012-53
|[http://www.nature.com/nature/journal/vaop/ncurrent/full/nature10983.html (JH Soh)The genomic and transcriptomic architecture of 2,000 breast tumours reveals novel subgroups]
|-
|rowspan = "6" |2012/07/09
|align="center"|2012-52
|[http://www.nature.com/nature/journal/v483/n7391/full/nature11003.html (ER Kim&TH Kim)The Cancer Cell Line Encyclopedia enables predictive modelling of anticancer drug sensitivity]
|-
|align="center"|2012-51
|[http://www.nature.com/nature/journal/v483/n7391/full/nature11005.html (ER Kim&TH Kim)Systematic identification of genomic markers of drug sensitivity in cancer cells]
|-
| align="center"|2012-50
|[http://www.pnas.org/content/early/2011/10/13/1018854108.abstract (ER Kim&TH Kim)Subtype and pathway specific responses to anticancer compounds in breast cancer]
|-
|align="center"|2012-49
|[http://www.nature.com/nature/journal/vaop/ncurrent/full/nature10945.html (JE Shim&KS Kim)De novo mutations revealed by whole-exome sequencing are strongly associated with autism]
|-
|align="center"|2012-48
|[http://www.nature.com/nature/journal/vaop/ncurrent/full/nature11011.html (JE Shim&KS Kim)Patterns and rates of exonic de novo mutations in autism spectrum disorders]
|-
|align="center"|2012-47
|[http://www.nature.com/nature/journal/vaop/ncurrent/full/nature10989.html (JE Shim&KS Kim)Sporadic autism exomes reveal a highly interconnected protein network of de novo mutations]
|-
|rowspan = "6" |2012/07/06
| align="center"|2012-46
|[http://www.g3journal.org/content/1/3/233.full (T Lee&CY Kim)Integrating Rare-Variant Testing, Function Prediction, and Gene Network in Composite Resequencing-Based Genome-Wide Association Studies (CR-GWAS)]
|-
|align="center"|2012-45
|[http://www.plosgenetics.org/article/info:doi/10.1371/journal.pgen.1002621 (T Lee&CY Kim)Type 2 Diabetes Risk Alleles Demonstrate Extreme Directional Differentiation among Human Populations, Compared to Other Diseases]
|-
|align="center"|2012-44
|[http://www.nature.com/nature/journal/v480/n7376/full/nature10665.html (AR Cho&JH Ju)Predicting mutation outcome from early stochastic variation in genetic interaction partners]
|-
|align="center"|2012-43
|[http://www.sciencemag.org/content/335/6064/82 (AR Cho&JH Ju)Fitness Trade-Offs and Environmentally Induced Mutation Buffering in Isogenic C. elegans]
|-
| align="center"|2012-42
|[http://genome.cshlp.org/content/22/6/1163 (JE Shim&KS Kim)Identification of microRNA-regulated gene networks by expression analysis of target genes]
|-
|align="center"|2012-41
|[http://www.nature.com/ng/journal/v44/n6/full/ng.2303.html (JE Shim&KS Kim)Exome sequencing and the genetic basis of complex traits]
|-
|rowspan = "6" |2012/07/02
|align="center"|2012-40
|[http://www.cell.com/abstract/S0092-8674(12)00573-9 (JH Soh)Functional Repurposing Revealed by Comparing S. pombe and S. cerevisiae Genetic Interactions]
|-
|align="center"|2012-39
|[http://genome.cshlp.org/content/22/2/375.long (ER Kim&TH Kim)De novo discovery of mutated driver pathways in cancer]
|-
| align="center"|2012-38
|[http://www.nature.com/msb/journal/v4/n1/full/msb20082.html (YH Go&HJ Han)A systems biology approach to prediction of oncogenes and molecular perturbation targets in B-cell lymphomas]
|-
|align="center"|2012-37
|[http://www.nature.com/msb/journal/v7/n1/full/msb201126.html (SH Hwang&HJ Cho)PREDICT: a method for inferring novel drug indications with application to personalized medicine]
|-
|align="center"|2012-36
|[http://www.nature.com/nature/journal/v453/n7198/full/nature06973.html (SH Hwang&HJ Cho)Synergistic response to oncogenic mutations defines gene class critical to cancer phenotype]
|-
|align="center"|2012-35
|[http://www.sciencemag.org/content/334/6062/1518.full (JH Shin&HJ Kim)Detecting Novel Associations in Large Data Sets]
|-
|rowspan = "3" |2012/03/05
| align="center"|2012-34
|[http://www.ncbi.nlm.nih.gov/pubmed/18516045 (8,HH Kim)Mapping and quantifying mammalian transcriptomes by RNA-Seq.]
|-
|align="center"|2012-33
|[http://genomebiology.com/2010/11/10/R106 (11,Go&Ju)Differential expression analysis for sequence count data]
|-
|align="center"|2012-32
|[http://bioinformatics.oxfordjournals.org/content/26/1/139.short (12,Go&Ju)edgeR: a Bioconductor package for differential expression analysis of digital gene expression data ]
|-
|rowspan = "7" |2012/02/27 2012/02/28
| align="center"|2012-31
|[http://www.nature.com/nrg/journal/v10/n1/full/nrg2484.html (1,JW Song)RNA-Seq: a revolutionary tool for transcriptomics]
|-
|align="center"|2012-30
|[http://www.nature.com/nmeth/journal/v8/n6/full/nmeth.1613.html (2,JW Song)Computational methods for transcriptome annotation and quantification using RNA-seq]
|-
|align="center"|2012-29
|[http://genomebiology.com/2010/11/12/220 (3,HJ Han)From RNA-seq reads to differential expression results]
|-
|align="center"|2012-28
|[http://www.nature.com/nmeth/journal/v7/n9/full/nmeth.1491.html (4,AR Cho)Comprehensive comparative analysis of strand-specific RNA sequencing methods]
|-
|align="center"|2012-27
|[http://www.plosone.org/article/info:doi%2F10.1371%2Fjournal.pone.0026426 (5,T Lee)A Low-Cost Library Construction Protocol and Data Analysis Pipeline for Illumina-Based Strand-Specific Multiplex RNA-Seq]
|-
|align="center"|2012-26
|[http://www.nature.com/nbt/journal/v28/n5/abs/nbt.1621.html (6,So&Shin)Transcript assembly and quantification by RNA-Seq reveals unannotated transcripts and isoform switching during cell differentiation]
|-
|align="center"|2012-25
|[http://bioinformatics.oxfordjournals.org/content/25/9/1105.abstract (7,So&Shin)TopHat: discovering splice junctions with RNA-Seq]
|-
|rowspan = "5" |2012/02/06
| align="center"|2012-24
|[http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3125733/ mirConnX: condition-specific mRNA-microRNA network integrator]
|-
|align="center"|2012-23
|[http://www.ploscompbiol.org/article/info%3Adoi%2F10.1371%2Fjournal.pcbi.1002190 Construction and Analysis of an Integrated Regulatory Network Derived from High-Throughput Sequencing Data]
|-
|align="center"|2012-22
|[http://www.plosgenetics.org/article/info%3Adoi%2F10.1371%2Fjournal.pgen.1002415 A Densely Interconnected Genome-Wide Network of MicroRNAs and Oncogenic Pathways Revealed Using Gene Expression Signatures]
|-
|align="center"|2012-21
|[http://genome.cshlp.org/content/20/5/589.short Reprogramming of miRNA networks in cancer and leukemia]
|-
|align="center"|2012-20
|[http://www.cell.com/abstract/S0092-8674(11)01152-4 An Extensive MicroRNA-Mediated Network of RNA-RNA Interactions Regulates Established Oncogenic Pathways in Glioblastoma]
|-
|rowspan = "5" |2012/01/30
|align="center"|2012-19
|[http://www.cell.com/abstract/S0092-8674(11)00237-6 Principles and Strategies for Developing Network Models in Cancer]
|-
|align="center"|2012-18
|[http://www.nature.com/ng/journal/v37/n4/full/ng1532.html Reverse engineering of regulatory networks in human B cells]
|-
|align="center"|2012-17
|[http://www.nature.com/nature/journal/v452/n7186/abs/nature06757.html Variations in DNA elucidate molecular networks that cause disease]
|-
|align="center"|2012-16
|[http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2779083/ Harnessing gene expression to identify the genetic basis of drug resistance]
|-
|align="center"|2012-15
|[http://www.sciencedirect.com/science/article/pii/S0092867410012936 An Integrated Approach to Uncover Drivers of Cancer]
|-
|rowspan = "3" |2012/01/09
|align="center"|2012-14
|[http://www.ncbi.nlm.nih.gov/pubmed/18704161 Genetic variation in an individual human exome.]
|-
|align="center"|2012-13
|[http://www.ncbi.nlm.nih.gov/pubmed/22081227 Predicting phenotypic variation in yeast from individual genome sequences.]
|-
|align="center"|2012-12
|[http://www.ncbi.nlm.nih.gov/pubmed/20435227 Clinical assessment incorporating a personal genome.]
|-
|rowspan = "6" |2012/01/09 2012/01/16
| align="center"|2012-11
|[http://www.ncbi.nlm.nih.gov/pubmed/20399638 Human allelic variation: perspective from protein function, structure, and evolution.]
|-
|align="center"|2012-10
|[http://www.ncbi.nlm.nih.gov/pubmed/19561590 Predicting the effects of coding non-synonymous variants on protein function using the SIFT algorithm.]
|-
|align="center"|2012-09
|[http://www.ncbi.nlm.nih.gov/pubmed/11230178 Prediction of deleterious human alleles.]
|-
|align="center"|2012-08
|[http://www.ncbi.nlm.nih.gov/pubmed/12202775 Human non-synonymous SNPs: server and survey.]
|-
|align="center"|2012-07
|[http://www.ncbi.nlm.nih.gov/pubmed/20354512 A method and server for predicting damaging missense mutations.]
|-
|align="center"|2012-06
|[http://www.ncbi.nlm.nih.gov/pmc/articles/PMC1920242/ SNAP: predict effect of non-synonymous polymorphisms on function]
|-
|rowspan = "3" |2012/01/09 2012/01/16
|align="center"|2012-05
|[http://www.ncbi.nlm.nih.gov/pubmed/21920052 Computational and statistical approaches to analyzing variants identified by exome sequencing.]
|-
|align="center"|2012-04
|[http://www.ncbi.nlm.nih.gov/pubmed/18179889 Shifting paradigm of association studies: value of rare single-nucleotide polymorphisms.]
|-
|align="center"|2012-03
|[http://www.ncbi.nlm.nih.gov/pubmed/19684571 Targeted capture and massively parallel sequencing of 12 human exomes.]
|-
|rowspan = "2" |2012/01/09 2012/01/16
|align="center"|2012-02
|[http://www.ncbi.nlm.nih.gov/pubmed/17637733 The distribution of fitness effects of new mutations.]
|-
|align="center"|2012-01
|[http://www.ncbi.nlm.nih.gov/pmc/articles/PMC1852724/ Most Rare Missense Alleles Are Deleterious in Humans: Implications for Complex Disease and Association Studies]
|}
2011
{|border ="1"
|style="color:black; background-color:#dcdcdc;" align="center" |Date
|style="color:black; background-color:#dcdcdc;" align="center"|Paper_index
|style="color:black; background-color:#dcdcdc;" align="center"|Paper_title
|-
|rowspan = "6" |2011/11/28
|align="center"|2011-49
|[http://bmir.stanford.edu/file_asset/index.php/1407/BMIR-2009-1355.pdf (Shin)Data-Driven Methods to Discover Molecular Determinants of Serious Adverse Drug Events]
|-
|align="center"|2011-48
|[http://www.nature.com/nchembio/journal/v4/n11/abs/nchembio.118.html (Shin)Network pharmacology: the next paradigm in drug discovery]
|-
|align="center"|2011-47
|[http://www.nature.com/msb/journal/v7/n1/full/msb201171.html (Oh)Systematic exploration of synergistic drug pairs]
|-
|align="center"|2011-46
|[http://www.nature.com/msb/journal/v5/n1/full/msb200995.html (Shim)Chemogenomic profiling predicts antifungal synergies]
|-
|align="center"|2011-45
|[http://www.pnas.org/content/104/32/13086 (Beck)A strategy for predicting the chemosensitivity of human cancers and its application to drug discovery]
|-
|align="center"|2011-44
|[http://www.nature.com/nchembio/journal/v1/n7/full/nchembio747.html (Hwang)Analysis of drug-induced effect patterns to link structure and side effects of medicines]
|-
|rowspan = "3" |2011/11/14
|align="center"|2011-43
|[http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1000662 Network-Based Elucidation of Human Disease Similarities Reveals Common Functional Modules Enriched for Pluripotent Drug Targets]
|-
|align="center"|2011-42
|[http://www.nature.com/msb/journal/v7/n1/full/msb201131.html Cross-species discovery of syncretic drug combinations that potentiate the antifungal fluconazole]
|-
|align="center"|2011-41
|[http://www.nature.com/msb/journal/v7/n1/full/msb20115.html Analysis of multiple compound–protein interactions reveals novel bioactive molecules]
|-
|rowspan = "4" |2011/11/07
|align="center"|2011-40
|[http://www.nature.com/nbt/journal/v25/n10/abs/nbt1338.html Drug—target network]
|-
|align="center"|2011-39
|[http://www.nature.com/msb/journal/v6/n1/full/msb200998.html A side effect resource to capture phenotypic effects of drugs]
|-
|align="center"|2011-38
|[http://genome.cshlp.org/content/18/2/206.long Quantitative systems-level determinants of human genes targeted by successful drugs]
|-
|align="center"|2011-37
|[http://www.sciencemag.org/content/321/5886/263.short Drug Target Identification Using Side-Effect Similarity]
|-
|rowspan = "3" |2011/11/07
|align="center"|2011-36
|[http://stm.sciencemag.org/content/3/96/96ra77.short Discovery and Preclinical Validation of Drug Indications Using Compendia of Public Gene Expression Data]
|-
|align="center"|2011-35
|[http://bib.oxfordjournals.org/content/12/4/303.short Exploiting drug–disease relationships for computational drug repositioning]
|-
|align="center"|2011-34
|[http://www.springerlink.com/content/4489r051nu2t0ul1/ Drug Discovery in a Multidimensional World: Systems, Patterns, and Networks]
|-
|rowspan = "3" |2011/10/05
|align="center"|2011-33
|[http://genome.cshlp.org/content/20/7/960.full Analysis of membrane proteins in metagenomics: Networks of correlated environmental features and protein families]
|-
|align="center"|2011-32
|[http://www.pnas.org/content/106/5/1374.full Quantifying environmental adaptation of metabolic pathways in metagenomics]
|-
|align="center"|2011-31
|[http://www.pnas.org/content/104/35/13913.abstract Quantitative assessment of protein function prediction from metagenomics shotgun sequences]
|-
|rowspan = "4" |2011/10/04
|align="center"|2011-30
|[http://www.nature.com/nature/journal/v464/n7285/full/nature08821.html A human gut microbial gene catalogue established by metagenomic sequencing]
|-
|align="center"|2011-29
|[http://www.nature.com/nrmicro/journal/v6/n9/abs/nrmicro1935.html Molecular eco-systems biology: towards an understanding of community function]
|-
|align="center"|2011-28
|[http://genome.cshlp.org/content/early/2009/04/20/gr.085464.108 Microbial community profiling for human microbiome projects: Tools, techniques, and challenges]
|-
|align="center"|2011-27
|[http://www.nature.com/nrmicro/journal/v9/n4/full/nrmicro2540.html Unravelling the effects of the environment and host genotype on the gut microbiome]
|-
|rowspan = "2" |2011/09/19
|align="center"|2011-26
|[http://www.sciencemag.org/content/333/6042/596.full independently evolved virulence effectors converge onto hubs in a plant immune system Network]
|-
|align="center"|2011-25
|[http://www.sciencemag.org/content/333/6042/601.full Evidence for network evolution in an arabidopsis interactome Map]
|-
|rowspan = "2" |2011/09/05
|align="center"|2011-24
|[http://www.sciencedirect.com/science/article/pii/S0092867411005861 Exome Sequencing of Ion Channel Genes Reveals Complex Profiles Confounding Personal Risk Assessment in Epilepsy]
|-
|align="center"|2011-23
|[http://www.cell.com/abstract/S0092-8674(11)00543-5 Pluripotency factors in Embryonic stem cells Regulate Differentiation into Germ Layers]
|-
|rowspan = "2" |2011/09/22
|align="center"|2011-22
|[http://www.plosgenetics.org/article/info%3Adoi%2F10.1371%2Fjournal.pgen.1002077 Integrated Genome-scale predition of Detrimental Mutations in Transcription Networks]
|-
|align="center"|2011-21
|[http://www.nature.com/nrg/journal/v12/n4/abs/nrg2969.html From expression QTLs to personalized transcriptomics]
|-
|2011/06/20
|align="center"|2011-20
|[http://www.plosbiology.org/article/info%3Adoi%2F10.1371%2Fjournal.pbio.1001046 a user's guide to the encyclopedia of DNA elements(ENCODE)]
|-
|rowspan = "2" |2011/03/30
|align="center"|2011-19
|[http://www.nature.com/nature/journal/vaop/ncurrent/full/nature09944.html enterotypes of the human gut microbiome]
|-
|align="center"|2011-18
|[http://www.nature.com/msb/journal/v7/n1/full/msb20116.html toward molecular trait-based ecology, through intergration of biogeochemical, geographical and metagenomic data]
|-
|rowspan = "2" |2011/03/16
|align="center"|2011-17
|[http://www.plosgenetics.org/article/info%3Adoi%2F10.1371%2Fjournal.pgen.1002047 variable pathogenicity determines individual lifespan in ''caenorhabditis elegans'']
|-
|align="center"|2011-16
|[http://www.cell.com/abstract/S0092-8674(11)00371-0 a high-resolution ''c.elegans'' essential gene network based on phenotypic profiling of a complex tissue]
|-
|rowspan = "3" |2011/04/25
|align="center"|2011-15
|[http://www.ncbi.nlm.nih.gov/pubmed/21376230 Hallmarks of Cancer : The next generation]
|-
|align="center"|2011-14
|[http://www.cell.com/abstract/S0092-8674(11)00296-0 Mapping Cancer Origins]
|-
|align="center"|2011-13
|[http://www.cell.com/abstract/S0092-8674(11)00297-2 Genetic Interactions in Cancer Progression and Treatment]
|-
|rowspan = "2" |2011/04/11
|align="center"|2011-12
|[http://www.plosgenetics.org/article/info%3Adoi%2F10.1371%2Fjournal.pgen.1001273 Proteins encoded in genomic regions associated with immune-mediated disease physically interact and suggest underlying biology]
|-
|align="center"|2011-11
|***Changed!***
[http://www.ncbi.nlm.nih.gov/pubmed/19557189 Identifying relationships among genomic disease regions: predicting genes at pathogenic SNP associations and rare deletions]
|-
|rowspan = "2"|2011/03/28
|align="center"|2011-10
|[http://www.pnas.org/content/106/44/18843.long profiling translatomes of discrete cell populations resolves altered cellular priorities during hypoxia in Arabidopsis]
|-
|align="center"|2011-09
|[http://www.nature.com/msb/journal/v6/n1/full/msb201076.html cell-type specific analysis of translating RNAs in developing flowers reveals new levels of control]
|-
|rowspan = "2"|2011/03/14
|align="center"|2011-08
|[http://www.sciencedirect.com/science?_ob=ArticleURL&_udi=B6WSN-51SFHJD-1&_user=44062&_coverDate=01%2F07%2F2011&_rdoc=1&_fmt=high&_orig=search&_origin=search&_sort=d&_docanchor=&view=c&_acct=C000004738&_version=1&_urlVersion=0&_userid=44062&md5=2f6017aab4c794ed7e78fbbd8447077a&searchtype=a phenotypic landscape of a bacterial cell]
|-
|align="center"|2011-07
|[http://www.nature.com/msb/journal/v6/n1/full/msb2010107.html cross-species chemogenomic profiling reveals evolutionarily conserved drug mode of action]
|-
|rowspan = "2"|2011/02/28
|align="center"|2011-06
|[http://www.pnas.org/content/early/2010/09/23/1004666107.abstract genomic patterns of pleiotropy and the evolution of complexity]
|-
|align="center"|2011-05
|[http://www.ploscompbiol.org/article/info%3Adoi%2F10.1371%2Fjournal.pcbi.1001009 simultaneous genome-wide inference of physical, genetic, regulatory, and functional pathway]
|-
|2011/02/21
|align="center"|2011-04
|[http://www.nature.com/msb/journal/v6/n1/full/msb201071.html dynamic interaction networks in a hierarchically organized tissue]
|-
|2011/02/14
|align="center"|2011-03
|[http://www.sciencemag.org/content/330/6009/1385.abstract rewiring of genetic networks in response to DNA damage]
|-
|rowspan = "2"|2011/01/31
|align="center"|2011-02
|[http://www.nature.com/nrg/journal/v10/n9/abs/nrg2633.html Applying mass spectrometry-based proteomics to genetics, genomics and network biology]
|-
|align="center"|2011-01
|[http://physiolgenomics.physiology.org/content/33/1/18.long Data analysis and bioinformatics tools for tandem mass spectrometry in proteomics]
|}
2010
{|border ="1"
|style="color:black; background-color:#dcdcdc;" align="center" |Date
|style="color:black; background-color:#dcdcdc;" align="center"|Paper_index
|style="color:black; background-color:#dcdcdc;" align="center"|Paper_title
|-
|rowspan = "2"|2010/12/27
|align="center"|2010-29
|[http://www.nature.com/nature/journal/v467/n7312/full/nature09326.html Functional_roles_fornoise_in_genetic_circuits]
|-
|align="center"|2010-28
|[http://www.nature.com/ng/journal/v42/n7/full/ng.610.html Estimation_of_effect_size_distribution_from_genome-wide_association_studies_and_implications_for_future_discoveries]
|-
|rowspan = "2"|2010/11/15
|align="center"|2010-27
|[http://www.plosgenetics.org/article/info%3Adoi%2F10.1371%2Fjournal.pgen.1000932 Liver_and_Adipose_Expression_associated_SNPs_are_enriched_for_association_to_type_2_diabetes]
|-
|align="center"|2010-26
|[http://www.sciencedirect.com/science?_ob=ArticleURL&_udi=B8JDC-50J4MRJ-2&_user=44062&_coverDate=10%2F10%2F2010&_rdoc=1&_fmt=high&_orig=search&_origin=search&_sort=d&_docanchor=&view=c&_acct=C000004738&_version=1&_urlVersion=0&_userid=44062&md5=7667a67cf8ba3f68117b8d0ff85a8887&searchtype=a It's_the_machine_that_matters:_predicting_gene_function_and_phenotype_from_protein_networks]
|-
|rowspan = "2"|2010/11/01
|align="center"|2010-25
|[http://genome.cshlp.org/content/early/2010/06/15/gr.104216.109 A_genome-wide_map_of_human_genetic_interactions_inferred_from_radiation_hybrid_genotypes]
|-
|align="center"|2010-24
|[http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0012139 A_Genome-Wide_Gene_Function_Prediction_Resource_for_Drosophila_melanogaster]
|-
|2010/10/11
|align="center"|2010-23
|[http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2913399/?tool=pubmed Dissecting_spatio-temporal_protein_networks_driving_human_heart_development_and_related_disorders]
|-
|rowspan = "2"|2010/09/13
|align="center"|2010-22
|[http://www.nature.com/ng/journal/v42/n7/full/ng.600.html Transposable_elements_have_rewired_the_core_regulatory_network_of_human_embryonic_stem_cells]
|-
|align="center"|2010-21
|[http://www.nature.com/ng/journal/v42/n7/full/ng0710-557.html Limits_of_sequence_and_functional_conservation]
|-
|2010/05/26
|align="center"|2010-20
|[[media:100428_network_based_elucidation_of_human_disease_similarities_reveals_common_functional_modules_enriched_for_pluripotent_drug_targets.pdf|network_based_elucidation_of_human_disease_similarities_reveals_common_functional_modules_enriched_for_pluripotent_drug_targets.pdf]]
|-
|2010/05/19
|align="center"|2010-19
|[[media:100421_interpreting_metabolomic_profiles_using_unbiased_pathway_models.pdf|interpreting_metabolomic_profiles_using_unbiased_pathway_models.pdf]]
|-
|2010/04/21
|align="center"|2010-18
|[[media:100414_identification_of_networks_of_co_occurring_tumor_related_dna_copy_number_changes_using_a_genome_wide_scoringapproach.pdf|identification_of_networks_of_co_occurring_tumor_related_dna_copy_number_changes_using_a_genome_wide_scoringapproach.pdf]]
|-
|2010/04/14
|align="center"|2010-17
|[http://www.cell.com/retrieve/pii/S0092867410000796 an_atlas_of_combinatorial_transcriptional_regulation_in_mouse_and_man]
|-
|rowspan = "2" |2010/04/07
|align="center"|2010-16
|[http://www.pnas.org/content/early/2010/03/11/0910200107.long systematic_discovery_of_nonobvious_human_disease_models_through_orthologous_phenotypes]
|-
|align="center"|2010-15
|[http://www.nature.com/nature/journal/vaop/ncurrent/full/nature08800.html genome_side_association_study_of_107_phenotypes_in_Arabidopsis_thaliana_inbred_lines]
|-
|rowspan="2"|2010/03/31
|align="center"|2010-14
|[[media:100331_toward_stem_cell_systems_biology_from_molecules_to_networks_and_landscapes.pdf|toward_stem_cell_systems_biology_from_molecules_to_networks_and_landscapes.pdf]]
|-
|align="center"|2010-13
|[http://www.nature.com/nrm/journal/v10/n10/abs/nrm2766.html systems_biology_of_stem_cell_fate_and_cellular_reprogramming]
|-
|2010/03/24
|align="center"|2010-12
|[http://www.nature.com/nbt/journal/v27/n2/abs/nbt.1522.html dynamic_modularity_in_protein_interaction_networks_predicts_breast_cancer_outcome]
|-
|2010/01/18
|align="center"|2010-11
|JournalClub_100118_a_tutorial_on_statistical_methods_for_population_association_studies
|-
|2010/01/16
|align="center"|2010-10
|systems-level_dinamic_analyses_of_fate_change_in_murine_embryonic_stem_cells
|-
|2010/01/15
|align="center"|2010-09
|distinguishing_direct_versus_indirect_transcription_factor-DNA-interactions
|-
|2010/01/14
|align="center"|2010-08
|chemogenomic_profiling_predicts_antifungal_synergies
|-
|2010/01/13
|align="center"|2010-07
|edgetic_perturbation_models_of_human_inherited_disorders
|-
|2010/01/12
|align="center"|2010-06
|analysis_of_cell_fate_from_single-cell_gene_expression_profiles_in_C.elegans
|-
|2010/01/11
|align="center"|2010-05
|predicting_new_molecular_targets_for_known_drugs.pdf
Reference:SEA(Similarity Ensemble Approach)
|-
|2010/01/09
|align="center"|2010-04
|harnessing_gene_expression_to_identify_the_genetic_basis_of_drug_resistance
|-
|2010/01/08
|align="center"|2010-03
|an_integrative_approach_to_reveal_driver_gene_fusions_from_paired_end_sequencing_data_in_cancer
|-
|2010/01/07
|align="center"|2010-02
|a_phenotypic_profile_of_the_candida_albicans_regulatory_network
|-
|2010/01/06
|align="center"|2010-01
|a_global_view_of_protein_expression_in_human_cells_tissues_and_organs
|}

People:SB Baek

2019-09-03T04:07:29Z

Shlee354: /* Seungbyn Baek */

===Seungbyn Baek===
{|
|[[File:Who.png|300px]]
|
*'''Master's program student''' (2019~), Department of Biotechnology, Yonsei University
*'''B.S.''' (2013-2017),
E-mail:

* '''Current research topic(s)'''
**
**
 
* '''Hardware preference'''
** AMD
|}

People:SB Baek

2019-08-28T08:50:28Z

Shlee354:

People

2019-08-24T06:24:40Z

Shlee354:

__NOTOC__
=='''Principal Investigator'''==
{|border="0" width="150"
|align="center"|[[File:이인석-2011사진.jpg|90px|link=people:IS_Lee]]
|-
|align="center"|[[people:IS_Lee|<big>'''Insuk Lee'''</big>]]
|-
|}

=='''Research Staffs'''==
{|border="0" width="400"
|align="center"|[[File:Smyang.jpg|70px|link=people:SM_Yang]]
|align="center"|[[File:SYLee.jpg|70px|link=people:SY_Lee]]
|align="center"|[[File:MYLee.png|70px|link=people:MY_Lee]]
|-
|align="center"|[[people:SM_Yang|<big>'''Sunmo Yang'''</big>]]
|align="center"|[[people:SY_Lee|<big>'''Sangyoung Lee'''</big>]]
|align="center"|[[people:MY_Lee|<big>'''Muyoung Lee'''</big>]]
|-
|align="center"|[[people:SM_Yang|Bioinformatics Programmer & Sys. Admin]]
|align="center"|[[people:SY_Lee|Senior Research Assistant]]
|align="center"|[[people:MY_Lee|Research Staff]]
|}

=='''Graduate Students'''==
{|border="0" width="800"

|align="center" |[[File:People_KSKim.jpg|70px|link=people:KS_Kim]]
|align="center"|[[File:cykim.PNG|70px|link=People:CY_Kim]]
|align="center"|[[File:Cho_JW.png|70px|link=People:J_Cho]]
|align="center"|[[File:2019_sungho.png|70px|link=People:S_Lee]]
|align="center"|[[File:Junha_Cha_profile2.png|70px|link=People:JH_Cha]]
|align="center"|[[File:나연.png|70px|link=People:NY_Kim]]
|align="center"|[[File:Who.png|70px|link=People:SB_Baek]]
|-

|align="center"|[[people:KS_Kim|<big>'''Kyungsoo Kim'''</big>]]
|align="center"|[[People:CY Kim|<big>'''Chan Yeong Kim'''</big>]]
|align="center"|[[People:J_Cho|<big>'''Jae Won Cho'''</big>]]
|align="center"|[[People:S_Lee|<big>'''Sungho Lee'''</big>]]
|align="center"|[[People:JH_Cha|<big>'''Junha Cha'''</big>]]
|align="center"|[[People:NY_Kim|<big>'''Nayeon Kim'''</big>]]
|align="center"|[[People:SB_Baek|<big>'''Seungbyn Baek'''</big>]]
|-

|align="center"|[[people:KS_Kim|Ph.D candidate (2013.3 - )]]
|align="center"|[[people:CY Kim|Ph.D candidate (2015.3 - )]]
|align="center"|[[people:J_Cho|Ph.D candidate (2016.9 - )]]
|align="center"|[[People:S_Lee|Ph.D course (2017.3 - )]]
|align="center"|[[People:JH_Cha|Master's course (2019.9 - )]]
|align="center"|[[People:NY_Kim|Master's course (2019.9 - )]]
|align="center"|[[People:SB_Baek|Master's course (2019.9 - )]]
|}

=='''Undergraduate Student(s)'''==
*Il Seok Choi

=='''Alumni'''==
*'''Former Post-docs and Staff Scientists'''
**Taeyun Oh (2009.5-2011.12), currently Deputy Principal Consultant (인실리코젠 생명정보분석컨설턴트), [http://www.insilicogen.com INSILICOGEN], Korea
**Sohyun Hwang (2010.3-2015.8), currently Assistant Professor (차의과대학 의과학과 교수), [http://bt.cha.ac.kr/ Department of Biomedical Science, CHA University], Korea
**Samuel Beck (2011.2-2011.12), currently Assistant Professor of Computational Biology, The Mount Desert Island Biological Laboratory, Maine, USA (미국 MDI 생명과학연구소 교수), [https://mdibl.org/faculty/sam-beck-ph-d/ Lab Homepage]
**Jawon Song (2011.1-2012.5), currently Research Associate (미국 텍사스슈퍼컴퓨팅센터 선임연구원), [https://www.tacc.utexas.edu/about/directory/jawon-song Texas Advanced Computing Center], Austin, TX, USA
**Yoonhee Ko (2012.8-2014.2), currently Assistant Professor (한국외국어대 바이오공학과 교수), [http://bme.hufs.ac.kr/ Department of Biomedical Engineering, Hankuk University of Foreign Studies], Korea
**Jonghoon Lee (2013.10-2014.2), currently Assistant Professor (차의과대학 식품생명공학과 교수), [http://fsb.cha.ac.kr/ Department of Food Science and Biotechnology, CHA University], Korea
**Jung Eun Shim (2009.8-2017.11), currently Researcher at Yonsei Genomics Center Bioinformatics Data Analysis Core (연세의료원 유전체센터 생명정보분석코어 선임연구원)

*'''Former Graduate Students (Ph.D)'''
**Junha Shin (2008.9-2014.2), PhD; currently Postdoc Fellow, University of Wisconsin-Madison (미국 위스콘신대 박사후연구원), USA [https://roylab.discovery.wisc.edu/ Roy Lab]
**Hanhae Kim (2008.9-2015.2), PhD; currently Associate Research Fellow (한국과학기술기획평가원 부연구위원), [http://www.kistep.re.kr Korea Institute of S&T Evaluation and Planning (KISTEP)]
**Ara Cho (2008.9-2015.2), PhD; currently Associate Research Fellow (한국과학기술기획평가원 부연구위원), [http://www.kistep.re.kr Korea Institute of S&T Evaluation and Planning (KISTEP)]
**Eiru Kim (2010.9-2016.8), PhD; currently Postdoc Fellow, MD Anderson Cancer Center, Texas, USA (미국 엠디앤더슨암센터 박사후연구원) [http://www.hart-lab.org/ Hart Lab]
**Tak Lee (2011.3-2017.2), PhD; currently Postdoc Fellow, Sainsbury Laboratory at University of Cambridge, UK (영국 케임브리지대학 박사후연구원) [https://www.slcu.cam.ac.uk/research/oldroyd-group Oldroyd Lab] [https://www.slcu.cam.ac.uk/research/ahnert-group Ahnert Lab]
**Heonjong Han (2011.3~2019.8), PhD; currently Postdoc Fellow, National Cancer Center, Korea (국립암센터 박사후연구원) [https://www.ncc.re.kr/ NCC]

*'''Former Graduate Students (Master's degree)'''
**Sun-Gou Ji (2009.9-2011.8), M.Eng.; PhD from University of Cambridge (Sanger Genome center); currently R&D engineer at [https://www.sbgenomics.com/ Seven Bridges], USA
**Hyojin Kim (2013.3-2015.2), M.Eng.; currently Bioinformatics Scientist, Aachen University, Germany
**Hongseok Shim (2013.9-2015.8), M.Eng.;
**Sunmo Yang (2014.9-2017.2), M.Eng. currently Bioinformatics programmer, Yonsei University
**Muyoung Lee (2016.3-2018.2), M.Eng. currently Research staff, Yonsei University

*'''Former Visiting Scientists/Students'''
**Minkyung Shin (2012.3-2012.7), went to University of Southern California graduate school
**Paul Chung (2012 summer), currently E-Commerce Analyst/Coordinator at [http://www.riotgames.com/ Riot Games], USA
**Susie Shin (2013 summer)
**Hyunjin Cho (2014 summer), currently Bioinformatics research assistant at [http://www.libd.org/ The Lieber Institute for Brain Development | LIBD], USA
**Michael Chung (2016.8-2016.12), currently work at [https://www.facebook.com/ Facebook], USA

*'''Former Undergraduate Students'''
**Ila Shin, went to medical school (Yonsei Univ.)
**Yoonkyung Ko
**Sangyo Park, went to law school (Kyounghee Univ.)
**Jayoon Shin, went to medical school (Pusan National Univ.)
**Dongjoo Sun, went to dental school (Wongwang Univ.)
**Eulsoo Kim
**Myungwhan Lee, went to medical school (Yonsei Univ.)
**Moonhee Lee, went to graduate school (University of Amsterdam, Netherlands)
**Jinhyun Ju, went to graduate school (Cornell Medical School, Computational Systems Biology); Currently Bioinformatics Scientist, Illumina, San Diego, USA (현재 미국 Illumina 본사 근무)
**Haeyoung Shin, went to graduate school (Brown University, Computational Neuroscience)
**Joonghee Soh, went to graduate school (KAIST, Culture Technology)
**Hee Jung Cho, went to graduate school (UC Berkeley)
**TaeHwan Kim, went to medical school
**Joohyung Kim, went to medical school (Kyungpook National Univ.)
**Donghyun Shin, went to medical school (Yonsei Univ.)
**Byunghee Kang (2015 spring - 2016 summer), went to graduate school (PosTech)
**Sunphil Kim (2016 winter)
**Jaeho Shim (2016 winter)
**Seunghyun Shin (2016 spring)
**Aejoo Hong (2016 spring)
**Changbae Bang (2016 summer), went to medical school (Yonsei Univ.)
**Seoyoung Choi (2016 summer)
**Dabin Jung (2016 summer)
**Boreum Nam (2016 summer)
**Seungun Lee (2016 summer)
**Yeaji Kim (2016 summer and fall)
**Sangyoung Lee (2017 winter)
**Heejun Jang (2017 winter & spring), went to KIST as Research Assistant
**Jungha Lee (2017 summer), went to graduate school (Seoul National Univ.)
**Seunghyun Wang (2017 summer), went to graduate school (KAIST)
**Dong-Min Yang (2017 fall)
**Doo-Hee Lee (2017 fall)
**Suk-Jae Han (2018 winter)
**Ji-Eun Han (2018 winter)
**Yuri Ko (2018 spring)
**Sung-Woo Kim (2018 spring)
**Woosung Kwon (2018 summer)
**Soyun Kong (2018 summer)
**Hojeong Keum (2018 summer and fall)
**Sungjun Lim (2018 summer and fall)
**Jiyoon Lee (2018 summer and fall)
**Junik Park (2019 winter)
**Lee Yoo (2019 winter & spring)
**Yeonwha Kim (2019 winter & spring)
**Sohee Kim (2019 spring)
**Juseong Lee (2019 spring)
**Junyoung Yang (2019 summer)
**Junyoung Ma (2019 summer)
**Dayun Jung (2019 summer)
**Hanjoon Kim (2019 summer)

People

2019-08-24T06:23:41Z

Shlee354:

__NOTOC__
=='''Principal Investigator'''==
{|border="0" width="150"
|align="center"|[[File:이인석-2011사진.jpg|90px|link=people:IS_Lee]]
|-
|align="center"|[[people:IS_Lee|<big>'''Insuk Lee'''</big>]]
|-
|}

=='''Research Staffs'''==
{|border="0" width="400"
|align="center"|[[File:Smyang.jpg|70px|link=people:SM_Yang]]
|align="center"|[[File:SYLee.jpg|70px|link=people:SY_Lee]]
|align="center"|[[File:MYLee.png|70px|link=people:MY_Lee]]
|-
|align="center"|[[people:SM_Yang|<big>'''Sunmo Yang'''</big>]]
|align="center"|[[people:SY_Lee|<big>'''Sangyoung Lee'''</big>]]
|align="center"|[[people:MY_Lee|<big>'''Muyoung Lee'''</big>]]
|-
|align="center"|[[people:SM_Yang|Bioinformatics Programmer & Sys. Admin]]
|align="center"|[[people:SY_Lee|Senior Research Assistant]]
|align="center"|[[people:MY_Lee|Research Staff]]
|}

=='''Graduate Students'''==
{|border="0" width="800"

|align="center" |[[File:People_KSKim.jpg|70px|link=people:KS_Kim]]
|align="center"|[[File:cykim.PNG|70px|link=People:CY_Kim]]
|align="center"|[[File:Cho_JW.png|70px|link=People:J_Cho]]
|align="center"|[[File:2019_sungho.png|70px|link=People:S_Lee]]
|align="center"|[[File:Junha_Cha_profile2.png|70px|link=People:JH_Cha]]
|align="center"|[[File:나연.png|70px|link=People:NY_Kim]]
|align="center"|[[File:Who.png|70px|link=People:SB_Baek]]
|-

|align="center"|[[people:KS_Kim|<big>'''Kyungsoo Kim'''</big>]]
|align="center"|[[People:CY Kim|<big>'''Chan Yeong Kim'''</big>]]
|align="center"|[[People:J_Cho|<big>'''Jae Won Cho'''</big>]]
|align="center"|[[People:S_Lee|<big>'''Sungho Lee'''</big>]]
|align="center"|[[People:JH_Cha|<big>'''Junha Cha'''</big>]]
|align="center"|[[People:NY_Kim|<big>'''Nayeon Kim'''</big>]]
|align="center"|[[People:SB_Baek|<big>'''Seungbyn Baek'''</big>]]
|-

|align="center"|[[people:KS_Kim|Ph.D candidate (2013.3 - )]]
|align="center"|[[people:CY Kim|Ph.D candidate (2015.3 - )]]
|align="center"|[[people:J_Cho|Ph.D candidate (2016.9 - )]]
|align="center"|[[People:S_Lee|Ph.D course (2017.3 - )]]
|align="center"|[[People:JH_Cha|Master's course (2019.9 - )]]
|align="center"|[[People:NY_Kim|Master's course (2019.9 - )]]
|align="center"|[[People:SB_Baek|Master's course (2019.9 - )]]
|}

=='''Undergraduate Student(s)'''==
*Il Seok Choi

=='''Alumni'''==
*'''Former Post-docs and Staff Scientists'''
**Taeyun Oh (2009.5-2011.12), currently Deputy Principal Consultant (인실리코젠 생명정보분석컨설턴트), [http://www.insilicogen.com INSILICOGEN], Korea
**Sohyun Hwang (2010.3-2015.8), currently Assistant Professor (차의과대학 의과학과 교수), [http://bt.cha.ac.kr/ Department of Biomedical Science, CHA University], Korea
**Samuel Beck (2011.2-2011.12), currently Assistant Professor of Computational Biology, The Mount Desert Island Biological Laboratory, Maine, USA (미국 MDI 생명과학연구소 교수), [https://mdibl.org/faculty/sam-beck-ph-d/ Lab Homepage]
**Jawon Song (2011.1-2012.5), currently Research Associate (미국 텍사스슈퍼컴퓨팅센터 선임연구원), [https://www.tacc.utexas.edu/about/directory/jawon-song Texas Advanced Computing Center], Austin, TX, USA
**Yoonhee Ko (2012.8-2014.2), currently Assistant Professor (한국외국어대 바이오공학과 교수), [http://bme.hufs.ac.kr/ Department of Biomedical Engineering, Hankuk University of Foreign Studies], Korea
**Jonghoon Lee (2013.10-2014.2), currently Assistant Professor (차의과대학 식품생명공학과 교수), [http://fsb.cha.ac.kr/ Department of Food Science and Biotechnology, CHA University], Korea
**Jung Eun Shim (2009.8-2017.11), currently Researcher at Yonsei Genomics Center Bioinformatics Data Analysis Core (연세의료원 유전체센터 생명정보분석코어 선임연구원)

*'''Former Graduate Students (Ph.D)'''
**Junha Shin (2008.9-2014.2), PhD; currently Postdoc Fellow, University of Wisconsin-Madison (미국 위스콘신대 박사후연구원), USA [https://roylab.discovery.wisc.edu/ Roy Lab]
**Hanhae Kim (2008.9-2015.2), PhD; currently Associate Research Fellow (한국과학기술기획평가원 부연구위원), [http://www.kistep.re.kr Korea Institute of S&T Evaluation and Planning (KISTEP)]
**Ara Cho (2008.9-2015.2), PhD; currently Associate Research Fellow (한국과학기술기획평가원 부연구위원), [http://www.kistep.re.kr Korea Institute of S&T Evaluation and Planning (KISTEP)]
**Eiru Kim (2010.9-2016.8), PhD; currently Postdoc Fellow, MD Anderson Cancer Center, Texas, USA (미국 엠디앤더슨암센터 박사후연구원) [http://www.hart-lab.org/ Hart Lab]
**Tak Lee (2011.3-2017.2), PhD; currently Postdoc Fellow, Sainsbury Laboratory at University of Cambridge, UK (영국 케임브리지대학 박사후연구원) [https://www.slcu.cam.ac.uk/research/oldroyd-group Oldroyd Lab] [https://www.slcu.cam.ac.uk/research/ahnert-group Ahnert Lab]
**Heonjong Han (2011.3~2019.8), PhD; currently Postdoc Fellow, National Cancer Center, Korea (국립암센터 박사후연구원) [https://www.ncc.re.kr/ NCC]

*'''Former Graduate Students (Master's degree)'''
**Sun-Gou Ji (2009.9-2011.8), M.Eng.; PhD from University of Cambridge (Sanger Genome center); currently R&D engineer at [https://www.sbgenomics.com/ Seven Bridges], USA
**Hyojin Kim (2013.3-2015.2), M.Eng.; currently Bioinformatics Scientist, Aachen University, Germany
**Hongseok Shim (2013.9-2015.8), M.Eng.;
**Sunmo Yang (2014.9-2017.2), M.Eng. currently Bioinformatics programmer, Yonsei University
**Muyoung Lee (2016.3-2018.2), M.Eng. currently Research staff, Yonsei University

*'''Former Visiting Scientists/Students'''
**Minkyung Shin (2012.3-2012.7), went to University of Southern California graduate school
**Paul Chung (2012 summer), currently E-Commerce Analyst/Coordinator at [http://www.riotgames.com/ Riot Games], USA
**Susie Shin (2013 summer)
**Hyunjin Cho (2014 summer), currently Bioinformatics research assistant at [http://www.libd.org/ The Lieber Institute for Brain Development | LIBD], USA
**Michael Chung (2016.8-2016.12), currently work at [https://www.facebook.com/ Facebook], USA

*'''Former Undergraduate Students'''
**Ila Shin, went to medical school (Yonsei Univ.)
**Yoonkyung Ko
**Sangyo Park, went to law school (Kyounghee Univ.)
**Jayoon Shin, went to medical school (Pusan National Univ.)
**Dongjoo Sun, went to dental school (Wongwang Univ.)
**Eulsoo Kim
**Myungwhan Lee, went to medical school (Yonsei Univ.)
**Moonhee Lee, went to graduate school (University of Amsterdam, Netherlands)
**Jinhyun Ju, went to graduate school (Cornell Medical School, Computational Systems Biology); Currently Bioinformatics Scientist, Illumina, San Diego, USA (현재 미국 Illumina 본사 근무)
**Haeyoung Shin, went to graduate school (Brown University, Computational Neuroscience)
**Joonghee Soh, went to graduate school (KAIST, Culture Technology)
**Hee Jung Cho, went to graduate school (UC Berkeley)
**TaeHwan Kim, went to medical school
**Joohyung Kim, went to medical school (Kyungpook National Univ.)
**Donghyun Shin, went to medical school (Yonsei Univ.)
**Byunghee Kang (2015 spring - 2016 summer), went to graduate school (PosTech)
**Sunphil Kim (2016 winter)
**Jaeho Shim (2016 winter)
**Seunghyun Shin (2016 spring)
**Aejoo Hong (2016 spring)
**Changbae Bang (2016 summer), went to medical school (Yonsei Univ.)
**Seoyoung Choi (2016 summer)
**Dabin Jung (2016 summer)
**Boreum Nam (2016 summer)
**Seungun Lee (2016 summer)
**Yeaji Kim (2016 summer and fall)
**Sangyoung Lee (2017 winter)
**Heejun Jang (2017 winter & spring), went to KIST as Research Assistant
**Jungha Lee, went to graduate school (2017 summer), went to graduate school (Seoul National Univ.)
**Seunghyun Wang, went to graduate school (2017 summer) went to graduate school (KAIST)
**Dong-Min Yang (2017 fall)
**Doo-Hee Lee (2017 fall)
**Suk-Jae Han (2018 winter)
**Ji-Eun Han (2018 winter)
**Yuri Ko (2018 spring)
**Sung-Woo Kim (2018 spring)
**Woosung Kwon (2018 summer)
**Soyun Kong (2018 summer)
**Hojeong Keum (2018 summer and fall)
**Sungjun Lim (2018 summer and fall)
**Jiyoon Lee (2018 summer and fall)
**Junik Park (2019 winter)
**Lee Yoo (2019 winter & spring)
**Yeonwha Kim (2019 winter & spring)
**Sohee Kim (2019 spring)
**Juseong Lee (2019 spring)
**Junyoung Yang (2019 summer)
**Junyoung Ma (2019 summer)
**Dayun Jung (2019 summer)
**Hanjoon Kim (2019 summer)

People

2019-08-24T06:22:56Z

Shlee354:

__NOTOC__
=='''Principal Investigator'''==
{|border="0" width="150"
|align="center"|[[File:이인석-2011사진.jpg|90px|link=people:IS_Lee]]
|-
|align="center"|[[people:IS_Lee|<big>'''Insuk Lee'''</big>]]
|-
|}

=='''Research Staffs'''==
{|border="0" width="400"
|align="center"|[[File:Smyang.jpg|70px|link=people:SM_Yang]]
|align="center"|[[File:SYLee.jpg|70px|link=people:SY_Lee]]
|align="center"|[[File:MYLee.png|70px|link=people:MY_Lee]]
|-
|align="center"|[[people:SM_Yang|<big>'''Sunmo Yang'''</big>]]
|align="center"|[[people:SY_Lee|<big>'''Sangyoung Lee'''</big>]]
|align="center"|[[people:MY_Lee|<big>'''Muyoung Lee'''</big>]]
|-
|align="center"|[[people:SM_Yang|Bioinformatics Programmer & Sys. Admin]]
|align="center"|[[people:SY_Lee|Senior Research Assistant]]
|align="center"|[[people:MY_Lee|Research Staff]]
|}

=='''Graduate Students'''==
{|border="0" width="800"

|align="center" |[[File:People_KSKim.jpg|70px|link=people:KS_Kim]]
|align="center"|[[File:cykim.PNG|70px|link=People:CY_Kim]]
|align="center"|[[File:Cho_JW.png|70px|link=People:J_Cho]]
|align="center"|[[File:2019_sungho.png|70px|link=People:S_Lee]]
|align="center"|[[File:Junha_Cha_profile2.png|70px|link=People:JH_Cha]]
|align="center"|[[File:나연.png|70px|link=People:NY_Kim]]
|align="center"|[[File:Who.png|70px|link=People:SB_Baek]]
|-

|align="center"|[[people:KS_Kim|<big>'''Kyungsoo Kim'''</big>]]
|align="center"|[[People:CY Kim|<big>'''Chan Yeong Kim'''</big>]]
|align="center"|[[People:J_Cho|<big>'''Jae Won Cho'''</big>]]
|align="center"|[[People:S_Lee|<big>'''Sungho Lee'''</big>]]
|align="center"|[[People:JH_Cha|<big>'''Junha Cha'''</big>]]
|align="center"|[[People:NY_Kim|<big>'''Nayeon Kim'''</big>]]
|align="center"|[[People:SB_Baek|<big>'''Seungbyn Baek'''</big>]]
|-

|align="center"|[[people:KS_Kim|Ph.D candidate (2013.3 - )]]
|align="center"|[[people:CY Kim|Ph.D candidate (2015.3 - )]]
|align="center"|[[people:J_Cho|Ph.D candidate (2016.9 - )]]
|align="center"|[[People:S_Lee|Ph.D course (2017.3 - )]]
|align="center"|[[People:JH_Cha|Master's course (2019.9 - )]]
|align="center"|[[People:NY_Kim|Master's course (2019.9 - )]]
|align="center"|[[People:SB_Baek|Master's course (2019.9 - )]]
|}

=='''Undergraduate Student(s)'''==
*Il Seok Choi

=='''Alumni'''==
*'''Former Post-docs and Staff Scientists'''
**Taeyun Oh (2009.5-2011.12), currently Deputy Principal Consultant (인실리코젠 생명정보분석컨설턴트), [http://www.insilicogen.com INSILICOGEN], Korea
**Sohyun Hwang (2010.3-2015.8), currently Assistant Professor (차의과대학 의과학과 교수), [http://bt.cha.ac.kr/ Department of Biomedical Science, CHA University], Korea
**Samuel Beck (2011.2-2011.12), currently Assistant Professor of Computational Biology, The Mount Desert Island Biological Laboratory, Maine, USA (미국 MDI 생명과학연구소 교수), [https://mdibl.org/faculty/sam-beck-ph-d/ Lab Homepage]
**Jawon Song (2011.1-2012.5), currently Research Associate (미국 텍사스슈퍼컴퓨팅센터 선임연구원), [https://www.tacc.utexas.edu/about/directory/jawon-song Texas Advanced Computing Center], Austin, TX, USA
**Yoonhee Ko (2012.8-2014.2), currently Assistant Professor (한국외국어대 바이오공학과 교수), [http://bme.hufs.ac.kr/ Department of Biomedical Engineering, Hankuk University of Foreign Studies], Korea
**Jonghoon Lee (2013.10-2014.2), currently Assistant Professor (차의과대학 식품생명공학과 교수), [http://fsb.cha.ac.kr/ Department of Food Science and Biotechnology, CHA University], Korea
**Jung Eun Shim (2009.8-2017.11), currently Researcher at Yonsei Genomics Center Bioinformatics Data Analysis Core (연세의료원 유전체센터 생명정보분석코어 선임연구원)

*'''Former Graduate Students (PhD)'''
**Junha Shin (2008.9-2014.2), PhD; currently Postdoc Fellow, University of Wisconsin-Madison (미국 위스콘신대 박사후연구원), USA [https://roylab.discovery.wisc.edu/ Roy Lab]
**Hanhae Kim (2008.9-2015.2), PhD; currently Associate Research Fellow (한국과학기술기획평가원 부연구위원), [http://www.kistep.re.kr Korea Institute of S&T Evaluation and Planning (KISTEP)]
**Ara Cho (2008.9-2015.2), PhD; currently Associate Research Fellow (한국과학기술기획평가원 부연구위원), [http://www.kistep.re.kr Korea Institute of S&T Evaluation and Planning (KISTEP)]
**Eiru Kim (2010.9-2016.8), PhD; currently Postdoc Fellow, MD Anderson Cancer Center, Texas, USA (미국 엠디앤더슨암센터 박사후연구원) [http://www.hart-lab.org/ Hart Lab]
**Tak Lee (2011.3-2017.2), PhD; currently Postdoc Fellow, Sainsbury Laboratory at University of Cambridge, UK (영국 케임브리지대학 박사후연구원) [https://www.slcu.cam.ac.uk/research/oldroyd-group Oldroyd Lab] [https://www.slcu.cam.ac.uk/research/ahnert-group Ahnert Lab]
**Heonjong Han (2011.3~2019.8), PhD; currently Postdoc Fellow, National Cancer Center, Korea (국립암센터 박사후연구원) [https://www.ncc.re.kr/ NCC]

*'''Former Graduate Students (Master)'''
**Sun-Gou Ji (2009.9-2011.8), M.Eng.; PhD from University of Cambridge (Sanger Genome center); currently R&D engineer at [https://www.sbgenomics.com/ Seven Bridges], USA
**Hyojin Kim (2013.3-2015.2), M.Eng.; currently Bioinformatics Scientist, Aachen University, Germany
**Hongseok Shim (2013.9-2015.8), M.Eng.;
**Sunmo Yang (2014.9-2017.2), M.Eng. currently Bioinformatics programmer, Yonsei University
**Muyoung Lee (2016.3-2018.2), M.Eng. currently Research staff, Yonsei University

*'''Former Visiting Scientists/Students'''
**Minkyung Shin (2012.3-2012.7), went to University of Southern California graduate school
**Paul Chung (2012 summer), currently E-Commerce Analyst/Coordinator at [http://www.riotgames.com/ Riot Games], USA
**Susie Shin (2013 summer)
**Hyunjin Cho (2014 summer), currently Bioinformatics research assistant at [http://www.libd.org/ The Lieber Institute for Brain Development | LIBD], USA
**Michael Chung (2016.8-2016.12), currently work at [https://www.facebook.com/ Facebook], USA

*'''Former Undergraduate Students'''
**Ila Shin, went to medical school (Yonsei Univ.)
**Yoonkyung Ko
**Sangyo Park, went to law school (Kyounghee Univ.)
**Jayoon Shin, went to medical school (Pusan National Univ.)
**Dongjoo Sun, went to dental school (Wongwang Univ.)
**Eulsoo Kim
**Myungwhan Lee, went to medical school (Yonsei Univ.)
**Moonhee Lee, went to graduate school (University of Amsterdam, Netherlands)
**Jinhyun Ju, went to graduate school (Cornell Medical School, Computational Systems Biology); Currently Bioinformatics Scientist, Illumina, San Diego, USA (현재 미국 Illumina 본사 근무)
**Haeyoung Shin, went to graduate school (Brown University, Computational Neuroscience)
**Joonghee Soh, went to graduate school (KAIST, Culture Technology)
**Hee Jung Cho, went to graduate school (UC Berkeley)
**TaeHwan Kim, went to medical school
**Joohyung Kim, went to medical school (Kyungpook National Univ.)
**Donghyun Shin, went to medical school (Yonsei Univ.)
**Byunghee Kang (2015 spring - 2016 summer), went to graduate school (PosTech)
**Sunphil Kim (2016 winter)
**Jaeho Shim (2016 winter)
**Seunghyun Shin (2016 spring)
**Aejoo Hong (2016 spring)
**Changbae Bang (2016 summer), went to medical school (Yonsei Univ.)
**Seoyoung Choi (2016 summer)
**Dabin Jung (2016 summer)
**Boreum Nam (2016 summer)
**Seungun Lee (2016 summer)
**Yeaji Kim (2016 summer and fall)
**Sangyoung Lee (2017 winter)
**Heejun Jang (2017 winter & spring), went to KIST as Research Assistant
**Jungha Lee, went to graduate school (2017 summer), went to graduate school (Seoul National Univ.)
**Seunghyun Wang, went to graduate school (2017 summer) went to graduate school (KAIST)
**Dong-Min Yang (2017 fall)
**Doo-Hee Lee (2017 fall)
**Suk-Jae Han (2018 winter)
**Ji-Eun Han (2018 winter)
**Yuri Ko (2018 spring)
**Sung-Woo Kim (2018 spring)
**Woosung Kwon (2018 summer)
**Soyun Kong (2018 summer)
**Hojeong Keum (2018 summer and fall)
**Sungjun Lim (2018 summer and fall)
**Jiyoon Lee (2018 summer and fall)
**Junik Park (2019 winter)
**Lee Yoo (2019 winter & spring)
**Yeonwha Kim (2019 winter & spring)
**Sohee Kim (2019 spring)
**Juseong Lee (2019 spring)
**Junyoung Yang (2019 summer)
**Junyoung Ma (2019 summer)
**Dayun Jung (2019 summer)
**Hanjoon Kim (2019 summer)

Journal Club

2019-08-23T08:39:22Z

Shlee354:

{|class=wikitable style="text-align:center;"
|+style="text-align:left;font-size:12pt" | 2019
|-
!scope="col" style="padding:.4em" |Date
!scope="col" style="padding:.4em" | Paper index
!scope="col" style="padding:.4em" | Presenter
!scope="col" style="padding:.4em" | Paper title
|-
|style="padding:.4em;" rowspan=2|2019/09/10
|style="padding:.4em;"|19-41
|style="padding:.4em;"|KS Kim
|style="padding:.4em;text-align:left"|
[https://www.sciencedirect.com/science/article/pii/S0092867419307329?via%3Dihub Intra- and Inter-cellular Rewiring of the Human Colon during Ulcerative Colitis]
|-
|style="padding:.4em;"|19-40
|style="padding:.4em;"|IS Choi
|style="padding:.4em;text-align:left"|
[https://www.nature.com/articles/nbt.4042 Multiplexed droplet single-cell RNA-sequencing using natural genetic variation]
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|style="padding:.4em;" rowspan=2|2019/09/03
|style="padding:.4em;"|19-39
|style="padding:.4em;"|NY Kim
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[https://www.sciencedirect.com/science/article/pii/S193131281930352X?via%3Dihub The Landscape of Genetic Content in the Gut and Oral Human Microbiome]
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|style="padding:.4em;"|19-38
|style="padding:.4em;"|CY Kim
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[https://www.sciencedirect.com/science/article/pii/S0092867419307755?via%3Dihub Benchmarking Metagenomics Tools for Taxonomic Classification]
|-
|style="padding:.4em;" rowspan=2|2019/08/20
|style="padding:.4em;"|19-37
|style="padding:.4em;"|JH Cha
|style="padding:.4em;text-align:left"|
[https://www.biorxiv.org/content/10.1101/719088v1 Coexpression uncovers a unified single-cell transcriptomic landscape]
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|style="padding:.4em;"|19-36
|style="padding:.4em;"|MY Lee
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[https://www.biorxiv.org/content/10.1101/586859v1 Single-cell interactomes of the human brain reveal cell-type specific convergence of brain disorders]
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|style="padding:.4em;" rowspan=3|2019/08/14
|style="padding:.4em;"|19-35
|style="padding:.4em;"|SH Lee
|style="padding:.4em;text-align:left"|
[https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1004075 Proportionality: a valid alternative to correlation for relative data]
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|style="padding:.4em;"|19-34
|style="padding:.4em;"|SH Lee
|style="padding:.4em;text-align:left"|
[https://www.nature.com/articles/s41598-017-16520-0 propr: An R-package for Identifying Proportionally Abundant Features Using Compositional Data Analysis]
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|style="padding:.4em;"|19-33
|style="padding:.4em;"|HJ Han
|style="padding:.4em;text-align:left"|
[https://www.nature.com/articles/s41591-018-0157-9 Robust prediction of response to immune checkpoint blockade therapy in metastatic melanoma]
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|style="padding:.4em;" rowspan=2|2019/08/13
|style="padding:.4em;"|19-32
|style="padding:.4em;"|KS Kim
|style="padding:.4em;text-align:left"|
[https://www.nature.com/articles/s41592-018-0254-1 A test metric for assessing single-cell RNA-seq batch correction]
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|style="padding:.4em;"|19-31
|style="padding:.4em;"|KS Kim
|style="padding:.4em;text-align:left"|
[https://www.sciencedirect.com/science/article/pii/S0092867419305598 Comprehensive Integration of Single-Cell Data]
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|style="padding:.4em;" rowspan=2|2019/08/08
|style="padding:.4em;"|19-30
|style="padding:.4em;"|JH Cha
|style="padding:.4em;text-align:left"|
[https://www.sciencedirect.com/science/article/pii/S0092867418313941 Defining T Cell States Associated with Response to Checkpoint Immunotherapy in Melanoma]
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|style="padding:.4em;"|19-29
|style="padding:.4em;"|KS Kim
|style="padding:.4em;text-align:left"|
[https://www.sciencedirect.com/science/article/pii/S009286741831242X High-Dimensional Analysis Delineates Myeloid and Lymphoid Compartment Remodeling during Successful Immune-Checkpoint Cancer Therapy]
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|style="padding:.4em;" rowspan=2|2019/08/07
|style="padding:.4em;"|19-28
|style="padding:.4em;"|HJ Han
|style="padding:.4em;text-align:left"|
[https://www.biorxiv.org/content/10.1101/555557v1 A single-cell reference map for human blood and tissue T cell activation reveals functional states in health and disease]
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|style="padding:.4em;"|19-27
|style="padding:.4em;"|IS Choi
|style="padding:.4em;text-align:left"|
[https://www.sciencedirect.com/science/article/pii/S009286741831568X Dysfunctional CD8 T Cells Form a Proliferative, Dynamically Regulated Compartment within Human Melanoma]
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|style="padding:.4em;" rowspan=2|2019/07/30
|style="padding:.4em;"|19-26
|style="padding:.4em;"|IS Choi
|style="padding:.4em;text-align:left"|
[https://www.nature.com/articles/nm.4466 High-dimensional single-cell analysis predicts response to anti-PD-1 immunotherapy]
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|style="padding:.4em;"|19-25
|style="padding:.4em;"|JW Cho
|style="padding:.4em;text-align:left"|
[https://www.sciencedirect.com/science/article/pii/S0092867418311784 A Cancer Cell Program Promotes T Cell Exclusion and Resistance to Checkpoint Blockade]
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|style="padding:.4em;" rowspan=2|2019/07/23
|style="padding:.4em;"|19-24
|style="padding:.4em;"|HJ Han
|style="padding:.4em;text-align:left"|
[https://www.ncbi.nlm.nih.gov/pubmed/26006008 COMPASS identifies T-cell subsets correlated with clinical outcomes.]
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|style="padding:.4em;"|19-23
|style="padding:.4em;"|HJ Han
|style="padding:.4em;text-align:left"|
[https://www.nature.com/articles/ncomms14825 Sensitive detection of rare disease-associated cell subsets via representation learning]
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|style="padding:.4em;" rowspan=3|2019/05/30
|style="padding:.4em;"|19-22
|style="padding:.4em;"|
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[https://www.ncbi.nlm.nih.gov/pubmed/30936547 Meta-analysis of fecal metagenomes reveals global microbial signatures that are specific for colorectal cancer]
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|style="padding:.4em;"|19-21
|style="padding:.4em;"|
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[https://www.ncbi.nlm.nih.gov/pubmed/30936548 Metagenomic analysis of colorectal cancer datasets identifies cross-cohort microbial diagnostic signatures and a link with choline degradation]
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|style="padding:.4em;"|19-20
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[https://www.ncbi.nlm.nih.gov/pubmed/30664783 Microbial network disturbances in relapsing refractory Crohn's disease.]
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|style="padding:.4em;" rowspan=3|2019/05/23
|style="padding:.4em;"|19-19
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[https://www.ncbi.nlm.nih.gov/pubmed/30867587 New insights from uncultivated genomes of the global human gut microbiome]
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|style="padding:.4em;"|19-18
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[https://www.ncbi.nlm.nih.gov/pubmed/30745586 A new genomic blueprint of the human gut microbiota]
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|style="padding:.4em;"|19-17
|style="padding:.4em;"|
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[https://www.ncbi.nlm.nih.gov/pubmed/30661755 Extensive Unexplored Human Microbiome Diversity Revealed by Over 150,000 Genomes from Metagenomes Spanning Age, Geography, and Lifestyle.]
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|style="padding:.4em;" rowspan=2|2019/05/16
|style="padding:.4em;"|19-16
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[https://www.ncbi.nlm.nih.gov/pubmed/29311644 Dynamics of metatranscription in the inflammatory bowel disease gut microbiome.]
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|style="padding:.4em;"|19-15
|style="padding:.4em;"|
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[https://www.ncbi.nlm.nih.gov/pubmed/29335555 Metatranscriptome of human faecal microbial communities in a cohort of adult men.]
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|style="padding:.4em;" rowspan=2|2019/05/09
|style="padding:.4em;"|19-14
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[https://www.ncbi.nlm.nih.gov/pubmed/30193113 Post-Antibiotic Gut Mucosal Microbiome Reconstitution Is Impaired by Probiotics and Improved by Autologous FMT.]
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|style="padding:.4em;"|19-13
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[https://www.ncbi.nlm.nih.gov/pubmed/30193112 Personalized Gut Mucosal Colonization Resistance to Empiric Probiotics Is Associated with Unique Host and Microbiome Features.]
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|style="padding:.4em;" rowspan=2|2019/05/02
|style="padding:.4em;"|19-12
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[https://www.ncbi.nlm.nih.gov/pubmed/30753825 Distinct Immune Cell Populations Define Response to Anti-PD-1 Monotherapy and Anti-PD-1/Anti-CTLA-4 Combined Therapy.]
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|style="padding:.4em;"|19-11
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[https://www.ncbi.nlm.nih.gov/pubmed/30778252 Subsets of exhausted CD8+ T cells differentially mediate tumor control and respond to checkpoint blockade.]
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|style="padding:.4em;" rowspan=2|2019/4/11
|style="padding:.4em;"|19-10
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[https://www.ncbi.nlm.nih.gov/pubmed/30479382 Lineage tracking reveals dynamic relationships of T cells in colorectal cancer.]
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|style="padding:.4em;"|19-9
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[https://www.ncbi.nlm.nih.gov/pubmed/30523328 Single cell dissection of plasma cell heterogeneity in symptomatic and asymptomatic myeloma.]
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|style="padding:.4em;" rowspan=2|2019/4/4
|style="padding:.4em;"|19-8
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[https://www.ncbi.nlm.nih.gov/pubmed/29942092 Single-cell profiling of breast cancer T cells reveals a tissue-resident memory subset associated with improved prognosis.]
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|style="padding:.4em;"|19-7
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[https://www.ncbi.nlm.nih.gov/pubmed/29942094 Global characterization of T cells in non-small-cell lung cancer by single-cell sequencing]
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|style="padding:.4em;" rowspan=2|2019/3/28
|style="padding:.4em;"|19-6
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[https://www.ncbi.nlm.nih.gov/pubmed/28319088 Reference component analysis of single-cell transcriptomes elucidates cellular heterogeneity in human colorectal tumors.]
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|style="padding:.4em;"|19-5
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[https://www.ncbi.nlm.nih.gov/pubmed/28622514 Landscape of Infiltrating T Cells in Liver Cancer Revealed by Single-Cell Sequencing.]
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|style="padding:.4em;" rowspan=3|2019/3/21
|style="padding:.4em;"|19-4
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[https://www.ncbi.nlm.nih.gov/pubmed/29988129 Phenotype molding of stromal cells in the lung tumor microenvironment.]
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|style="padding:.4em;"|19-3-1
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[https://www.ncbi.nlm.nih.gov/pubmed/30787436 A single-cell molecular map of mouse gastrulation and early organogenesis]
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|style="padding:.4em;"|19-3
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[https://www.ncbi.nlm.nih.gov/pubmed/30787437 The single-cell transcriptional landscape of mammalian organogenesis]
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|style="padding:.4em;" rowspan=2|2019/3/14
|style="padding:.4em;"|19-2
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[https://www.ncbi.nlm.nih.gov/pubmed/29961579 Single-Cell Map of Diverse Immune Phenotypes in the Breast Tumor Microenvironment]
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|style="padding:.4em;"|19-1
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[https://www.ncbi.nlm.nih.gov/pubmed/29198524 Single-Cell Transcriptomic Analysis of Primary and Metastatic Tumor Ecosystems in Head and Neck Cancer]
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{|class=wikitable style="text-align:center;"
|+style="text-align:left;font-size:12pt" | 2018
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|style="padding:.4em;" rowspan=2|2018/06/14
|style="padding:.4em;"|18-12
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[https://www.ncbi.nlm.nih.gov/pubmed/?term=A+pan-cancer+analysis+of+enhancer+expression+in+nearly+9000+patient+samples A Pan-Cancer Analysis of Enhancer Expression in Nearly 9000 Patient Samples.]
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|style="padding:.4em;"|18-11
|style="padding:.4em;"|
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[https://www.ncbi.nlm.nih.gov/pubmed/?term=Machine+learning+identifies+stemness+features+associated+with+oncogenic+dedifferentiation Machine Learning Identifies Stemness Features Associated with Oncogenic Dedifferentiation.]
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|style="padding:.4em;" rowspan=2|2018/06/07
|style="padding:.4em;"|18-10
|style="padding:.4em;"|
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[https://www.ncbi.nlm.nih.gov/pubmed/?term=Developmental+and+oncogenic+programs+in+H3K27M+gliomas+dissected+by+single-cell+RNA-seq Developmental and oncogenic programs in H3K27M gliomas dissected by single-cell RNA-seq.]
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|style="padding:.4em;"|18-9
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[https://www.ncbi.nlm.nih.gov/pubmed/?term=Chemoresistance+evolution+in+triple-negative+breast+cancer+delineated+by+single-cell+sequencing Chemoresistance Evolution in Triple-Negative Breast Cancer Delineated by Single-Cell Sequencing.]
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|style="padding:.4em;" rowspan=2|2018/05/31
|style="padding:.4em;"|18-8
|style="padding:.4em;"|
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[https://www.ncbi.nlm.nih.gov/pubmed/?term=Mapping+human+pluripotent+stem+cell+differentiation+pathways+using+high+throughput+single-cell+RNA-sequencing Mapping human pluripotent stem cell differentiation pathways using high throughput single-cell RNA-sequencing.]
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|style="padding:.4em;"|18-7
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[https://www.ncbi.nlm.nih.gov/pubmed/?term=A+single-cell+RNA-seq+survey+of+the+developmental+landscape+of+the+human+prefrontal+cortex A single-cell RNA-seq survey of the developmental landscape of the human prefrontal cortex.]
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|style="padding:.4em;" rowspan=2|2018/05/24
|style="padding:.4em;"|18-6
|style="padding:.4em;"|CY Kim
|style="padding:.4em;text-align:left"|
[https://www.ncbi.nlm.nih.gov/pubmed/?term=Single-cell+RNA+sequencing+identifies+celltype-specific+cis-eQTLs+and+co-expression+QTLs Single-cell RNA sequencing identifies celltype-specific cis-eQTLs and co-expression QTLs.]
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|style="padding:.4em;"|18-5
|style="padding:.4em;"|HJ Han
|style="padding:.4em;text-align:left"|
[https://www.ncbi.nlm.nih.gov/pubmed/?term=FOCS%3A+a+novel+method+for+analyzing+enhancer+and+gene+activity+patterns+infers+an+extensive+enhancer-promoter+map FOCS: a novel method for analyzing enhancer and gene activity patterns infers an extensive enhancer-promoter map.]
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|style="padding:.4em;" rowspan=2|2018/05/17
|style="padding:.4em;"|18-4
|style="padding:.4em;"|KS Kim
|style="padding:.4em;text-align:left"|
[https://www.ncbi.nlm.nih.gov/pubmed/29149608 A Distinct Gene Module for Dysfunction Uncoupled from Activation in Tumor-Infiltrating T Cells.]
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|style="padding:.4em;"|18-3
|style="padding:.4em;"|SH Lee
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[https://www.ncbi.nlm.nih.gov/pubmed/29610481 A global transcriptional network connecting noncoding mutations to changes in tumor gene expression.]
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|style="padding:.4em;" rowspan=2|2018/05/10
|style="padding:.4em;"|18-2
|style="padding:.4em;"|JW Cho
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[https://www.ncbi.nlm.nih.gov/pubmed/?term=Inferring+regulatory+element+landscapes+and+transcription+factor+networks+from+cancer+methylomes Inferring regulatory element landscapes and transcription factor networks from cancer methylomes.]
|-
|style="padding:.4em;"|18-1
|style="padding:.4em;"|DS Bae
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[https://www.ncbi.nlm.nih.gov/pubmed/28129544 Genomic and Transcriptomic Features of Response to Anti-PD-1 Therapy in Metastatic Melanoma.]
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{|class=wikitable style="text-align:center;"
|+style="text-align:left;font-size:12pt" | 2017
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!scope="col" style="padding:.4em" |Date
!scope="col" style="padding:.4em" | Paper index
!scope="col" style="padding:.4em" | Presenter
!scope="col" style="padding:.4em" | Paper title
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|style="padding:.4em;" rowspan=2|2017/06/28
|style="padding:.4em;"|17-36
|style="padding:.4em;"|HJ Han
|style="padding:.4em;text-align:left"|
[https://www.ncbi.nlm.nih.gov/pubmed/28104840 Tumor aneuploidy correlates with markers of immune evasion and with reduced response to immunotherapy.]
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|style="padding:.4em;"|17-35
|style="padding:.4em;"|JW Cho
|style="padding:.4em;text-align:left"|
[https://www.ncbi.nlm.nih.gov/pubmed/27240091 Landscape of tumor-infiltrating T cell repertoire of human cancers.]
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|style="padding:.4em;" rowspan=2|2017/06/14
|style="padding:.4em;"|17-34
|style="padding:.4em;"|JW Cho
|style="padding:.4em;text-align:left"|
[http://biorxiv.org/content/early/2015/09/01/025908 The landscape of T cell infiltration in human cancer and its association with antigen presenting gene expression.]
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|style="padding:.4em;"|17-33
|style="padding:.4em;"|MY Lee
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[https://www.ncbi.nlm.nih.gov/pubmed/?term=10.1016%2Fj.cell.2016.08.052 A Distinct Gene Module for Dysfunction Uncoupled from Activation in Tumor-Infiltrating T Cells.]
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|style="padding:.4em;" rowspan=2|2017/06/07
|style="padding:.4em;"|17-32
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[http://www.tandfonline.com/doi/full/10.1080/2162402X.2016.1253654 Identification of genetic determinants of breast cancer immune phenotypes by integrative genome-scale analysis.]
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|style="padding:.4em;"|17-31
|style="padding:.4em;"|MY Lee
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[https://www.ncbi.nlm.nih.gov/pubmed/?term=10.1016%2Fj.celrep.2016.03.075 Genomic Correlates of Immune-Cell Infiltrates in Colorectal Carcinoma.]
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|style="padding:.4em;" rowspan=2|2017/05/31
|style="padding:.4em;"|17-30
|style="padding:.4em;"|DS Bae
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[https://www.ncbi.nlm.nih.gov/pubmed/?term=10.1016%2Fj.cell.2016.02.065 Genomic and Transcriptomic Features of Response to Anti-PD-1 Therapy in Metastatic Melanoma.]
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|style="padding:.4em;"|17-29
|style="padding:.4em;"|JW Cho
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[https://www.ncbi.nlm.nih.gov/pubmed/?term=10.1016%2Fj.celrep.2016.12.019 Pan-cancer Immunogenomic Analyses Reveal Genotype-Immunophenotype Relationships and Predictors of Response to Checkpoint Blockade.]
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|style="padding:.4em;" rowspan=2|2017/05/24
|style="padding:.4em;"|17-28
|style="padding:.4em;"|EB Kim
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[https://www.ncbi.nlm.nih.gov/pubmed/?term=10.1016%2Fj.cell.2016.12.022 Systemic Immunity Is Required for Effective Cencer Immunotherapy.]
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|style="padding:.4em;"|17-27
|style="padding:.4em;"|CY Kim
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[https://www.ncbi.nlm.nih.gov/pubmed/?term=10.1016%2Fj.cell.2016.10.020 Linking the Human Gut Microbiome to Inflammatory Cytokine Production Capacity.]
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|style="padding:.4em;" rowspan=2|2017/05/17
|style="padding:.4em;"|17-26
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[https://www.ncbi.nlm.nih.gov/pubmed/?term=10.1016%2Fj.cell.2016.10.018 Host and Environmental Factors Influencing Individual Human Cytokine Responses.]
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|style="padding:.4em;"|17-25
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[https://www.ncbi.nlm.nih.gov/pubmed/?term=10.1016%2Fj.cell.2016.10.017 A Functional Genomics Approach to Understand Variation in Cytokine Production in Humans.]
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|style="padding:.4em;" rowspan=2|2017/04/26
|style="padding:.4em;"|17-24
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[https://www.ncbi.nlm.nih.gov/pubmed/?term=10.1038%2FNMETH.4177 Pooled CRISPR screening with single-cell transcriptome readout.]
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|style="padding:.4em;"|17-23
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[https://www.ncbi.nlm.nih.gov/pubmed/?term=10.1016%2Fj.cell.2016.11.039 Dissecting Immune Circuits by Linking CRISPR-Pooled Screens with Single-Cell RNA-Seq.]
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|style="padding:.4em;" rowspan=2|2017/04/12
|style="padding:.4em;"|17-22
|style="padding:.4em;"|SH Lee
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[https://www.ncbi.nlm.nih.gov/pubmed/?term=10.1016%2Fj.cell.2016.11.038 Perturb-Seq: Dissecting Molecular Circuits with Scalable Single-Cell RNA Profiling of Pooled Genetic Screens.]
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|style="padding:.4em;"|17-21
|style="padding:.4em;"|CY Kim
|style="padding:.4em;text-align:left"|
[https://www.ncbi.nlm.nih.gov/pubmed/?term=10.1038%2Fnbt.3569 Wishbone identifies bifurcating developmental trajectories from single-cell data.]
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|style="padding:.4em;" rowspan=2|2017/04/05
|style="padding:.4em;"|17-20
|style="padding:.4em;"|KS Kim
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[http://biorxiv.org/content/early/2017/02/21/110668 Reversed graph embedding resolves complex single-cell developmental trajectories.]
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|style="padding:.4em;"|17-19
|style="padding:.4em;"|SH Lee
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[https://www.ncbi.nlm.nih.gov/pubmed/?term=10.1038%2Fnmeth.4150 Single-cell mRNA quantification and differential analysis with Census.]
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|style="padding:.4em;" rowspan=2|2017/03/29
|style="padding:.4em;"|17-18
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[https://www.ncbi.nlm.nih.gov/pubmed/?term=10.1016%2Fj.celrep.2016.12.060 Single-Cell Transcriptomic Analysis Defines Heterogeneity and Transcriptional Dynamics in the Adult Neural Stem Cell Lineage.]
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|style="padding:.4em;"|17-17
|style="padding:.4em;"|DS Bae
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[https://www.ncbi.nlm.nih.gov/pubmed/26051941 Single-Cell Network Analysis Identifies DDIT3 as a Nodal Lineage Regulator in Hematopoiesis.]
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|style="padding:.4em;" rowspan=2|2017/03/22
|style="padding:.4em;"|17-16
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[https://www.ncbi.nlm.nih.gov/pubmed/27580035 Single-cell analysis of mixed-lineage states leading to a binary cell fate choice.]
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|style="padding:.4em;"|17-15
|style="padding:.4em;"|EB Kim
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[https://www.ncbi.nlm.nih.gov/pubmed/27281220 Dissecting direct reprogramming from fibroblast to neuron using single-cell RNA-seq.]
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|style="padding:.4em;" rowspan=2|2017/03/15
|style="padding:.4em;"|17-14
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[https://www.ncbi.nlm.nih.gov/pubmed/?term=10.1126%2Fscience.aad0501 Dissecting the multicellular ecosystem of metastatic melanoma by single-cell RNA-seq.]
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|style="padding:.4em;"|17-13
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[https://www.ncbi.nlm.nih.gov/pubmed/26084335 Single-cell mRNA sequencing identifies subclonal heterogeneity in anti-cancer drug responses of lung adenocarcinoma cells.]
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|style="padding:.4em;" rowspan=2|2017/02/28
|style="padding:.4em;"|17-12
|style="padding:.4em;"|KS Kim
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[https://www.ncbi.nlm.nih.gov/pubmed/27824113 A Comprehensive Characterization of the Function of LincRNAs in Transcriptional Regulation Through Long-Range Chromatin Interactions.]
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|style="padding:.4em;"|17-11
|style="padding:.4em;"|JE Shim
|style="padding:.4em;text-align:left"|
[//pubmed.gov/27851969 Epigenomic Deconvolution of Breast Tumors Reveals Metabolic Coupling between Constituent Cell Types.]
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|style="padding:.4em;" rowspan=2|2017/02/21
|style="padding:.4em;"|17-10
|style="padding:.4em;"|EB Kim
|style="padding:.4em;text-align:left"|
[http://biorxiv.org/content/early/2016/12/30/097451 Convergence of dispersed regulatory mutations predicts driver genes in prostate cancer.]
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|style="padding:.4em;"|17-09
|style="padding:.4em;"|EB Kim
|style="padding:.4em;text-align:left"|
[//pubmed.gov/27723759 Chromatin structure-based prediction of recurrent noncoding mutations in cancer.]
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|style="padding:.4em;" rowspan=2|2017/02/07
|style="padding:.4em;"|17-08
|style="padding:.4em;"|DS Bae
|style="padding:.4em;text-align:left"|
[http://biorxiv.org/content/early/2016/11/17/088286 Somatic Mutations and Neoepitope Homology in Melanomas Treated with CTLA-4 Blockade.]
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|style="padding:.4em;"|17-07
|style="padding:.4em;"|MY Lee
|style="padding:.4em;text-align:left"|
[http://biorxiv.org/content/early/2016/11/28/090134 Chemotherapy weakly contributes to predicted neoantigen expression in ovarian cancer.]
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|style="padding:.4em;" rowspan=1|2017/01/31
|style="padding:.4em;"|17-06
|style="padding:.4em;"|CY Kim
|style="padding:.4em;text-align:left"|
[//www.ncbi.nlm.nih.gov/pubmed/27912059 Microbiota Diurnal Rhythmicity Programs Host Transcriptome Oscillations.]
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|style="padding:.4em;" rowspan=1|2017/01/24
|style="padding:.4em;"|17-05
|style="padding:.4em;"|JW Cho
|style="padding:.4em;text-align:left"|
[//www.ncbi.nlm.nih.gov/pubmed/27851914 Transcriptional Landscape of Human Tissue Lymphocytes Unveils Uniqueness of Tumor-Infiltrating T Regulatory Cells.]
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|style="padding:.4em;" rowspan=2|2017/01/17
|style="padding:.4em;"|17-04
|style="padding:.4em;"|HJ Han
|style="padding:.4em;text-align:left"|
[//www.ncbi.nlm.nih.gov/pubmed/25938943 Mapping long-range promoter contacts in human cells with high-resolution capture Hi-C]
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|style="padding:.4em;"|17-03
|style="padding:.4em;"|EB Kim
|style="padding:.4em;text-align:left"|
[//www.ncbi.nlm.nih.gov/pubmed/27306882 CHiCAGO: robust detection of DNA looping interactions in Capture Hi-C data.]
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|style="padding:.4em;" rowspan=1|2017/01/10
|style="padding:.4em;"|17-02
|style="padding:.4em;"|JE Shim
|style="padding:.4em;text-align:left"|
[//www.ncbi.nlm.nih.gov/pubmed/26527291 ZIFA: Dimensionality reduction for zero-inflated single-cell gene expression analysis]
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|style="padding:.4em;" rowspan=1|2017/01/03
|style="padding:.4em;"|17-01
|style="padding:.4em;"|SH Lee
|style="padding:.4em;text-align:left"|
[//www.ncbi.nlm.nih.gov/pubmed/26287467 Single-cell messenger RNA sequencing reveals rare intestinal cell types]
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{|class=wikitable style="text-align:center;"
|+style="text-align:left;font-size:12pt" | 2016
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!scope="col" style="padding:.4em" |Date
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!scope="col" style="padding:.4em" | Paper title
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|style="padding:.4em;" rowspan=1|2016/12/27
|style="padding:.4em;"|2016-31
|style="padding:.4em;"|EB Kim
|style="padding:.4em;text-align:left"|
[http://www.ncbi.nlm.nih.gov/pubmed/25664528 Decoding the regulatory network of early blood development from single-cell gene expression measurements.]
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|style="padding:.4em;" rowspan=1|2016/12/6
|style="padding:.4em;"|2016-30
|style="padding:.4em;"|KS Kim
|style="padding:.4em;text-align:left"|
[http://www.ncbi.nlm.nih.gov/pubmed/26299571 Single-Cell RNA-Seq with Waterfall Reveals Molecular Cascades underlying Adult Neurogenesis.]
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|style="padding:.4em;" rowspan=1|2016/11/29
|style="padding:.4em;"|2016-29
|style="padding:.4em;"|DS Bae
|style="padding:.4em;text-align:left"|
[http://www.ncbi.nlm.nih.gov/pubmed/24658644 The dynamics and regulators of cell fate decisions are revealed by pseudotemporal ordering of single cells.]
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|style="padding:.4em;" rowspan=1|2016/11/22
|style="padding:.4em;"|2016-28
|style="padding:.4em;"|CY Kim
|style="padding:.4em;text-align:left"|
[http://www.ncbi.nlm.nih.gov/pubmed/26887813 Classification of low quality cells from single-cell RNA-seq data.]
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|style="padding:.4em;" rowspan=1|2016/11/15
|style="padding:.4em;"|2016-27
|style="padding:.4em;"|MY Lee
|style="padding:.4em;text-align:left"|
[http://www.ncbi.nlm.nih.gov/pubmed/26000487 Droplet barcoding for single-cell transcriptomics applied to embryonic stem cells.]
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|style="padding:.4em;" rowspan=1|2016/11/8
|style="padding:.4em;"|2016-26
|style="padding:.4em;"|JW Cho
|style="padding:.4em;text-align:left"|
[http://www.ncbi.nlm.nih.gov/pubmed/26000488 Highly Parallel Genome-wide Expression Profiling of Individual Cells Using Nanoliter Droplets.]
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|style="padding:.4em;" rowspan=1|2016/11/1
|style="padding:.4em;"|2016-25
|style="padding:.4em;"|HJ Han
|style="padding:.4em;text-align:left"|
[http://www.ncbi.nlm.nih.gov/pubmed/27426982 Causal Mechanistic Regulatory Network for Glioblastoma Deciphered Using Systems Genetics Network Analysis.]
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|style="padding:.4em;" rowspan=1|2016/10/25
|style="padding:.4em;"|2016-24
|style="padding:.4em;"|MY Lee
|style="padding:.4em;text-align:left"|
[http://www.ncbi.nlm.nih.gov/pubmed/27549193 Comprehensive analyses of tumor immunity: implications for cancer immunotherapy.]
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|style="padding:.4em;" rowspan=1|2016/10/11
|style="padding:.4em;"|2016-23
|style="padding:.4em;"|JE Shim
|style="padding:.4em;text-align:left"|
[http://www.ncbi.nlm.nih.gov/pubmed/?term=sidespread+parainflammation Widespread parainflammation in human cancer]
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|style="padding:.4em;" rowspan=1|2016/9/27
|style="padding:.4em;"|2016-22
|style="padding:.4em;"|ER Kim
|style="padding:.4em;text-align:left"|
[http://www.ncbi.nlm.nih.gov/pubmed/27535533 Analysis of protein-coding genetic variation in 60,706 humans]
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|style="padding:.4em;" rowspan=1|2016/9/20
|style="padding:.4em;"|2016-21
|style="padding:.4em;"|SM Yang
|style="padding:.4em;text-align:left"|
Functional characterization of somatic mutations in cancer using network-based inference of protein activity
[http://www.ncbi.nlm.nih.gov/pubmed/27322546 pubmed]
[http://www.nature.com/ng/journal/v48/n8/full/ng.3593.html fulltext]
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|style="padding:.4em;" rowspan=1|2016/9/13
|style="padding:.4em;"|2016-20
|style="padding:.4em;"|KS Kim
|style="padding:.4em;text-align:left"|
[http://www.ncbi.nlm.nih.gov/pubmed/?term=exploiting+single-cell+expression+to+characterize Exploiting single-cell expression to characterize co-expression replicability.]
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|style="padding:.4em;" rowspan=1|2016/9/6
|style="padding:.4em;"|2016-19
|style="padding:.4em;"|T Lee
|style="padding:.4em;text-align:left"|
[http://www.ncbi.nlm.nih.gov/pubmed/26940869 Clonal neoantigens elicit T cell immunoreactivity and sensitivity to immune checkpoint blockade]
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|style="padding:.4em;" rowspan=1|2016/8/31
|style="padding:.4em;"|2016-18
|style="padding:.4em;"|DS Bae
|style="padding:.4em;text-align:left"|
[http://www.ncbi.nlm.nih.gov/pubmed/27264179 A Computational Drug Repositioning Approach for Targeting Oncogenic Transcription Factors]
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|style="padding:.4em;" rowspan=1|2016/8/16
|style="padding:.4em;"|2016-17
|style="padding:.4em;"|JW Cho
|style="padding:.4em;text-align:left"|
[http://www.ncbi.nlm.nih.gov/pubmed/27309802 The landscape of accessible chromatin in mammalian preimplantation embryos]
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|style="padding:.4em;" rowspan=1|2016/8/8
|style="padding:.4em;"|2016-16
|style="padding:.4em;"|EB Kim
|style="padding:.4em;text-align:left"|
[http://www.ncbi.nlm.nih.gov/pubmed/27064255 Enhancer-promoter interactions are encoded by complex genomic signatures on looping chromatin]
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|style="padding:.4em;" rowspan=1|2016/8/1
|style="padding:.4em;"|2016-15
|style="padding:.4em;"|MY Lee
|style="padding:.4em;text-align:left"|
[http://www.ncbi.nlm.nih.gov/pubmed/27040498 Personalized Immunomonitoring Uncovers Molecular Networks that Stratify Lupus Patients]
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|style="padding:.4em;" rowspan=1|2016/7/25
|style="padding:.4em;"|2016-14
|style="padding:.4em;"|CY Kim
|style="padding:.4em;text-align:left"|
[http://www.ncbi.nlm.nih.gov/pubmed/?term=integration+of+summary+data+from+gwas+and+eqtl+studies Integration of summary data from GWAS and eQTL studies predicts complex trait gene targets]
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|style="padding:.4em;" rowspan=1|2016/7/18
|style="padding:.4em;"|2016-13
|style="padding:.4em;"|HJ Han
|style="padding:.4em;text-align:left"|
[http://www.ncbi.nlm.nih.gov/pubmed/23624555 Identification of transcriptional regulators in the mouse immune system]
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|style="padding:.4em;" rowspan=2|2016/6/8
|style="padding:.4em;"|2016-12
|style="padding:.4em;"|DS Bae, CY Kim
|style="padding:.4em;text-align:left"|
[http://www.ncbi.nlm.nih.gov/pubmed/26619012 Mapping the effects of drugs on the immune system]
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|style="padding:.4em;"| 2016-11
|style="padding:.4em;"|DS Bae, CY Kim
|style="padding:.4em;text-align:left"|
[http://www.ncbi.nlm.nih.gov/pubmed/26186195 Elucidating compound mechanism of action by network perturbation analysis]
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|style="padding:.4em;" rowspan=2|2016/6/1
|style="padding:.4em;"|2016-10
|style="padding:.4em;"|MY Lee,SM Cho
|style="padding:.4em;text-align:left"|
[http://www.ncbi.nlm.nih.gov/pubmed/26854917 Integrative approaches for large-scale transcriptome-wide association studies]
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|style="padding:.4em;"| 2016-9
|style="padding:.4em;"|MY Lee,SM Cho
|style="padding:.4em;text-align:left"|
[http://www.ncbi.nlm.nih.gov/pubmed/26950747 Tissue-specific regulatory circuits reveal variable modular perturbations across complex diseases]
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|style="padding:.4em;" rowspan=2|2016/5/18
|style="padding:.4em;"|2016-8
|style="padding:.4em;"|CY Kim,SJ Kwon
|style="padding:.4em;text-align:left"|
[http://www.ncbi.nlm.nih.gov/pubmed/27013732 Survey of variation in human transcription factors reveals prevalent DNA binding changes]
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|style="padding:.4em;"| 2016-7
|style="padding:.4em;"| CY Kim,SJ Kwon
|style="padding:.4em;text-align:left"|
[http://www.ncbi.nlm.nih.gov/pubmed/26502339 Large-scale identification of sequence variants influencing human transcription factor occupancy in vivo]
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|style="padding:.4em;" rowspan=2|2016/5/11
|style="padding:.4em;"|2016-6
|style="padding:.4em;"|DS Bae, CY Kim
|style="padding:.4em;text-align:left"|
[http://www.ncbi.nlm.nih.gov/pubmed/25171417 Predicting Cancer-specific vulnerability via data-driven detection of synthetic lethality]
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|style="padding:.4em;"| 2016-5
|style="padding:.4em;"|DS Bae, CY Kim
|style="padding:.4em;text-align:left"|
[http://www.ncbi.nlm.nih.gov/pubmed/23467089 Dynamic regulatory network controlling Th17 cell differentiation]
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|style="padding:.4em;" rowspan=2|2016/5/4
|style="padding:.4em;"|2016-4
|style="padding:.4em;"|MY Lee,SM Cho
|style="padding:.4em;text-align:left"|
[http://www.ncbi.nlm.nih.gov/pubmed/25853550 Characterization of the immunophenotypes and antigenomes of colorectal cancers reveals distinct tumor escape mechanisms and novel targets for immunotherapy]
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|style="padding:.4em;"| 2016-3
|style="padding:.4em;"|MY Lee,SM Cho
|style="padding:.4em;text-align:left"|
[http://www.ncbi.nlm.nih.gov/pubmed/26618344 Regulators of genetic risk of breast cancer identified by integrative network analysis]
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|style="padding:.4em;" rowspan=2|2016/4/27
|style="padding:.4em;"|2016-2
|style="padding:.4em;"|CY Kim,SJ Kwon
|style="padding:.4em;text-align:left"|
[http://www.ncbi.nlm.nih.gov/pubmed/26780608 A predictive computational framework for direct reprogramming between human cell types]
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|style="padding:.4em;"| 2016-1
|style="padding:.4em;"| CY Kim,SJ Kwon
|style="padding:.4em;text-align:left"|
[http://www.ncbi.nlm.nih.gov/pubmed/25126793 CellNet: Network biology applied to stem cell engineering]
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{|class=wikitable style="text-align:center;"
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!scope="col" style="padding:.4em" | Date
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|style="padding:.4em;" rowspan=2|2015/06/11
|style="padding:.4em;"|2015-55
|style="padding:.4em;"|
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[http://genome.cshlp.org/content/24/2/340.long Improved exome prioritization of disease genes through cross-species phenotype comparison.]
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|style="padding:.4em;"|2015-54
|style="padding:.4em;"|
|style="padding:.4em;text-align:left"|
[http://www.sciencedirect.com/science/article/pii/S0002929714001128 Phevor combines multiple biomedical ontologies for accurate identification of disease-causing alleles in single individuals and small nuclear families.]
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|style="padding:.4em;" rowspan=2|2015/06/04
|style="padding:.4em;"|2015-53
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[http://www.nature.com/nmeth/journal/v10/n11/full/nmeth.2656.html eXtasy: variant prioritization by genomic data fusion.]
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|style="padding:.4em;"|2015-52
|style="padding:.4em;"|
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[http://genome.cshlp.org/content/21/9/1529.long A probabilistic disease-gene finder for personal genomes.]
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|style="padding:.4em;" rowspan=2|2015/05/28
|style="padding:.4em;"|2015-51
|style="padding:.4em;"|
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[http://www.nature.com/ng/journal/v46/n12/full/ng.3141.html Systematic analysis of noncoding somatic mutations and gene expression alterations across 14 tumor types.]
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|style="padding:.4em;"|2015-50
|style="padding:.4em;"|
|style="padding:.4em;text-align:left"|
[http://www.nature.com/nbt/journal/v28/n5/full/nbt.1630.html GREAT improves functional interpretation of cis-regulatory regions.]
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|style="padding:.4em;" rowspan=2|2015/05/21
|style="padding:.4em;"|2015-49
|style="padding:.4em;"|
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[http://www.nature.com/nmeth/journal/v11/n3/full/nmeth.2832.html Functional annotation of noncoding sequence variants.]
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|style="padding:.4em;"|2015-48
|style="padding:.4em;"|
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[http://genomebiology.com/content/15/10/480 FunSeq2: A framework for prioritizing noncoding regulatory variants in cancer.]
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|style="padding:.4em;" rowspan=2|2015/05/14
|style="padding:.4em;"|2015-47
|style="padding:.4em;"|
|style="padding:.4em;text-align:left"|
[http://www.nature.com/nmeth/journal/v12/n2/full/nmeth.3215.html Selecting causal genes from genome-wide association studies via functionally coherent subnetworks.]
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|style="padding:.4em;"|2015-46
|style="padding:.4em;"|
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[http://www.nature.com/ncomms/2015/150119/ncomms6890/full/ncomms6890.html Biological interpretation of genome-wide association studies using predicted gene functions.]
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|style="padding:.4em;" rowspan=3|2015/05/07
|style="padding:.4em;"|2015-45
|style="padding:.4em;"|
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[http://www.nature.com/ncomms/2014/140626/ncomms5212/full/ncomms5212.html Human symptoms-disease network.]
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|style="padding:.4em;"|2015-44
|style="padding:.4em;"|
|style="padding:.4em;text-align:left"|
[http://www.sciencedirect.com/science/article/pii/S0092867413010246 A nondegenerate code of deleterious variants in Mendelian loci contributes to complex disease risk.]
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|style="padding:.4em;"|2015-43
|style="padding:.4em;"|
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[http://www.sciencemag.org/content/347/6224/1257601.long Uncovering disease-disease relationships through the incomplete interactome.]

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|style="padding:.4em;" rowspan=2|2015/04/30
|style="padding:.4em;"|2015-42
|style="padding:.4em;"|
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[http://genome.cshlp.org/content/25/1/142.long The discovery of integrated gene networks for autism and related disorders.]
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|style="padding:.4em;"|2015-41
|style="padding:.4em;"|
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[http://msb.embopress.org/content/10/12/774.long Integrated systems analysis reveals a molecular network underlying autism spectrum disorders.]
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|style="padding:.4em;" rowspan=3|2015/04/23
|style="padding:.4em;"|2015-40
|style="padding:.4em;"|
|style="padding:.4em;text-align:left"|
[http://www.nature.com/nature/journal/v518/n7539/full/nature13990.html Dissecting neural differentiation regulatory networks through epigenetic footprinting.]
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|style="padding:.4em;"|2015-39
|style="padding:.4em;"|
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[http://www.nature.com/nature/journal/v518/n7539/full/nature14221.html Cell-of-origin chromatin organization shapes the mutational landscape of cancer.]
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|style="padding:.4em;"|2015-38
|style="padding:.4em;"|
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[http://www.nature.com/nature/journal/v518/n7539/full/nature14248.html Integrative analysis of 111 reference human epigenomes.]
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|style="padding:.4em;" rowspan=2|2015/04/09
|style="padding:.4em;"|2015-37
|style="padding:.4em;"|
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[http://genome.cshlp.org/content/25/2/246.long Genome-wide analysis of local chromatin packing in Arabidopsis thaliana.]
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|style="padding:.4em;"|2015-36
|style="padding:.4em;"|
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[http://www.sciencedirect.com/science/article/pii/S0092867414014974 A 3D map of the human genome at kilobase resolution reveals principles of chromatin looping.]
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|style="padding:.4em;" rowspan=2|2015/04/02
|style="padding:.4em;"|2015-35
|style="padding:.4em;"|
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[http://www.nature.com/nrg/journal/v14/n6/full/nrg3454.html Exploring the three-dimensional organization of genomes: interpreting chromatin interaction data.]
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|style="padding:.4em;"|2015-34
|style="padding:.4em;"|
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[http://www.sciencemag.org/content/347/6225/1010.long Transcribed enhancers lead waves of coordinated transcription in transitioning mammalian cells.]
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|style="padding:.4em;" rowspan=2|2015/03/26
|style="padding:.4em;"|2015-33
|style="padding:.4em;"|
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[http://genome.cshlp.org/content/25/2/257.long Cupid: simultaneous reconstruction of microRNA-target and ceRNA networks.]
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|style="padding:.4em;"|2015-32
|style="padding:.4em;"|
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[http://genome.cshlp.org/content/25/1/41.long Characterization of the neural stem cell gene regulatory network identifies OLIG2 as a multifunctional regulator of self-renewal.]
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|style="padding:.4em;" rowspan=2|2015/03/19
|style="padding:.4em;"|2015-31
|style="padding:.4em;"|
|style="padding:.4em;text-align:left"|
[http://www.nature.com/nbt/journal/vaop/ncurrent/full/nbt.3154.html Decoding the regulatory network of early blood development from single-cell gene expression measurements.]
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|style="padding:.4em;"|2015-30
|style="padding:.4em;"|
|style="padding:.4em;text-align:left"|
[http://www.nature.com/nrg/journal/v16/n3/full/nrg3833.html Computational and analytical challenges in single-cell transcriptomics.]
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|style="padding:.4em;" rowspan=3|2015/03/12
|style="padding:.4em;"|2015-29
|style="padding:.4em;"|
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[http://www.sciencedirect.com/science/article/pii/S0092867415000136 Extensive Strain-Level Copy-Number Variation across Human Gut Microbiome Species.]
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|style="padding:.4em;"|2015-28
|style="padding:.4em;"|
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[http://www.nature.com/nature/journal/v500/n7464/full/nature12506.html Richness of human gut microbiome correlates with metabolic markers.]
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|style="padding:.4em;"|2015-27
|style="padding:.4em;"|
|style="padding:.4em;text-align:left"|
[http://www.nature.com/nature/journal/v490/n7418/full/nature11450.html A metagenome-wide association study of gut microbiota in type 2 diabetes.]
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|style="padding:.4em;" rowspan=3|2015/03/09
|style="padding:.4em;"|2015-26
|style="padding:.4em;"|HJ Han
|style="padding:.4em;text-align:left"|
[http://www.ploscompbiol.org/article/info%3Adoi%2F10.1371%2Fjournal.pcbi.1003326 Practical guidelines for the comprehensive analysis of ChIP-seq data.]
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|style="padding:.4em;"|2015-25
|style="padding:.4em;"|T Lee
|style="padding:.4em;text-align:left"|
[http://genome.cshlp.org/content/23/5/777.long Patterns of regulatory activity across diverse human cell types predict tissue identity, transcription factor binding, and long-range interactions.]
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|style="padding:.4em;"|2015-24
|style="padding:.4em;"|ER Kim
|style="padding:.4em;text-align:left"|
[http://msb.embopress.org/content/10/11/760.long Rapid neurogenesis through transcriptional activation in human stem cells.]
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|style="padding:.4em;" rowspan=3|2015/03/02
|style="padding:.4em;"|2015-23
|style="padding:.4em;"|DS Bae
|style="padding:.4em;text-align:left"|
[http://www.sciencedirect.com/science/article/pii/S0092867414011787 Genome-Scale CRISPR-Mediated Control of Gene Repression and Activation.]
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|style="padding:.4em;"|2015-22
|style="padding:.4em;"|CY Kim
|style="padding:.4em;text-align:left"|
[http://www.plosgenetics.org/article/info%3Adoi%2F10.1371%2Fjournal.pgen.1004237 Integrating multiple genomic data to predict disease-causing nonsynonymous single nucleotide variants in exome sequencing studies.]
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|style="padding:.4em;"|2015-21
|style="padding:.4em;"|ER Kim
|style="padding:.4em;text-align:left"|
[http://www.nature.com/ng/journal/v45/n6/full/ng.2653.html The Genotype-Tissue Expression (GTEx) project.]
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|style="padding:.4em;" rowspan=3|2015/02/24
|style="padding:.4em;"|2015-20
|style="padding:.4em;"|ER Kim
|style="padding:.4em;text-align:left"|
[http://www.sciencemag.org/content/346/6212/1007.long Mouse regulatory DNA landscapes reveal global principles of cis-regulatory evolution.]
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|style="padding:.4em;"|2015-19
|style="padding:.4em;"|KS Kim
|style="padding:.4em;text-align:left"|
[http://www.nature.com/nature/journal/v515/n7527/full/nature13985.html Principles of regulatory information conservation between mouse and human.]
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|style="padding:.4em;"|2015-18
|style="padding:.4em;"|BH Kang
|style="padding:.4em;text-align:left"|
[http://www.nature.com/nature/journal/v515/n7527/full/nature13972.html Conservation of trans-acting circuitry during mammalian regulatory evolution.]
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|style="padding:.4em;" rowspan=3|2015/02/16
|style="padding:.4em;"|2015-17
|style="padding:.4em;"|T Lee
|style="padding:.4em;text-align:left"|
[http://www.nature.com/nature/journal/vaop/ncurrent/full/nature13835.html Genetic and epigenetic fine mapping of causal autoimmune disease variants.]
|-
|style="padding:.4em;"|2015-16
|style="padding:.4em;"|CY Kim
|style="padding:.4em;text-align:left"|
[http://www.nature.com/ng/journal/v46/n3/full/ng.2892.html A general framework for estimating the relative pathogenicity of human genetic variants.]
|-
|style="padding:.4em;"|2015-15
|style="padding:.4em;"|CY Kim
|style="padding:.4em;text-align:left"|
[http://www.ploscompbiol.org/article/info%3Adoi%2F10.1371%2Fjournal.pcbi.1003825 A probabilistic model to predict clinical phenotypic traits from genome sequencing.]
|-
|style="padding:.4em;" rowspan=4|2015/02/02
|style="padding:.4em;"|2015-14
|style="padding:.4em;"|BH Kang
|style="padding:.4em;text-align:left"|
[http://www.pnas.org/content/111/22/E2329.long Relating the metatranscriptome and metagenome of the human gut.]
|-
|style="padding:.4em;"|2015-13
|style="padding:.4em;"|BH Kang
|style="padding:.4em;text-align:left"|
[http://www.nature.com/nature/journal/v513/n7516/full/nature13568.html Alterations of the human gut microbiome in liver cirrhosis.]
|-
|style="padding:.4em;"|2015-12
|style="padding:.4em;"|CY Kim
|style="padding:.4em;text-align:left"|
[http://www.nature.com/nbt/journal/v32/n8/full/nbt.2942.html An integrated catalog of reference genes in the human gut microbiome.]
|-
|style="padding:.4em;"|2015-11
|style="padding:.4em;"|CY Kim
|style="padding:.4em;text-align:left"|
[http://www.nature.com/nbt/journal/v32/n8/full/nbt.2939.html Identification and assembly of genomes and genetic elements in complex metagenomic samples without using reference genomes.]
|-
|style="padding:.4em;" rowspan=5|2015/01/26
|style="padding:.4em;"|2015-10
|style="padding:.4em;"|HH Kim
|style="padding:.4em;text-align:left"|
[http://msb.embopress.org/content/9/1/666.long Computational meta'omics for microbial community studies.]
|-
|style="padding:.4em;"|2015-09
|style="padding:.4em;"|HH Kim
|style="padding:.4em;text-align:left"|
[http://genomemedicine.com/content/5/7/65 Functional profiling of the gut microbiome in disease-associated inflammation.]
|-
|style="padding:.4em;"|2015-08
|style="padding:.4em;"|BH Kang
|style="padding:.4em;text-align:left"|
[http://www.sciencedirect.com/science/article/pii/S016895251200145X Biodiversity and functional genomics in the human microbiome.]
|-
|style="padding:.4em;"|2015-07
|style="padding:.4em;"|BH Kang
|style="padding:.4em;text-align:left"|
[http://www.ploscompbiol.org/article/info%3Adoi%2F10.1371%2Fjournal.pcbi.1002808 Chapter 12: Human Microbiome Analysis.]
|-
|style="padding:.4em;"|2015-06
|style="padding:.4em;"|BH Kang
|style="padding:.4em;text-align:left"|
[http://www.cell.com/cell/abstract/S0092-8674%2814%2900864-2 Conducting a Microbiome Study.]
|-
|style="padding:.4em;" rowspan=3|2015/01/12
|style="padding:.4em;"|2015-05
|style="padding:.4em;"|KS Kim
|style="padding:.4em;text-align:left"|
[http://www.nature.com/ncomms/2014/141210/ncomms6522/full/ncomms6522.html Small RNA changes en route to distinct cellular states of induced pluripotency.]
|-
|style="padding:.4em;"|2015-04
|style="padding:.4em;"|DS Bae
|style="padding:.4em;text-align:left"|
[http://www.nature.com/nature/journal/v516/n7530/full/nature14046.html Genome-wide characterization of the routes to pluripotency.]
|-
|style="padding:.4em;"|2015-03
|style="padding:.4em;"|DS Bae
|style="padding:.4em;text-align:left"|
[http://www.nature.com/nature/journal/v516/n7530/full/nature14047.html Divergent reprogramming routes lead to alternative stem-cell states.]
|-
|style="padding:.4em;" rowspan=2|2015/01/05
|style="padding:.4em;"|2015-02
|style="padding:.4em;"|HJ Han
|style="padding:.4em;text-align:left"|
[http://www.pnas.org/content/111/21/E2191.long Global view of enhancer-promoter interactome in human cells.]
|-
|style="padding:.4em;"|2015-01
|style="padding:.4em;"|HJ Han
|style="padding:.4em;text-align:left"|
[http://nar.oxfordjournals.org/content/41/22/10391.long Combining Hi-C data with phylogenetic correlation to predict the target genes of distal regulatory elements in human genome.]
|}
{|class=wikitable style="text-align:center;"
|+style="text-align:left;font-size:12pt" | 2014
|-
!scope="col" style="padding:.4em" | Date
!scope="col" style="padding:.4em" | Paper index
!scope="col" style="padding:.4em" | Presenter
!scope="col" style="padding:.4em" | Paper title
|-
|style="padding:.4em;" rowspan=2|2014/12/23
|style="padding:.4em;"|2014-41
|style="padding:.4em;"|CY Kim
|style="padding:.4em;text-align:left"|
[http://www.sciencedirect.com/science/article/pii/S0092867413012270 Super-enhancers in the control of cell identity and disease.]
|-
|style="padding:.4em;"|2014-40
|style="padding:.4em;"|CY Kim
|style="padding:.4em;text-align:left"|
[http://www.sciencedirect.com/science/article/pii/S0092867413003929 Master transcription factors and mediator establish super-enhancers at key cell identity genes.]
|-
|style="padding:.4em;" rowspan=4|2014/12/09
|style="padding:.4em;"|2014-39
|style="padding:.4em;"|HH Kim
|style="padding:.4em;text-align:left"|
[http://www.sciencedirect.com/science/article/pii/S0092867414013713 Unraveling the biology of a fungal meningitis pathogen using chemical genetics.]
|-
|style="padding:.4em;"|2014-38
|style="padding:.4em;"|JE Shim
|style="padding:.4em;text-align:left"|
[http://www.sciencedirect.com/science/article/pii/S0092867414014226 A proteome-scale map of the human interactome network.]
|-
|style="padding:.4em;"|2014-37
|style="padding:.4em;"|JE Shim
|style="padding:.4em;text-align:left"|
[http://msb.embopress.org/content/10/9/752.long The role of the interactome in the maintenance of deleterious variability in human populations.]
|-
|style="padding:.4em;"|2014-36
|style="padding:.4em;"|HS Shim
|style="padding:.4em;text-align:left"|
[http://www.sciencemag.org/content/342/6154/1235587.long Integrative annotation of variants from 1092 humans: application to cancer genomics.]
|-
|style="padding:.4em;" rowspan=2|2014/12/02
|style="padding:.4em;"|2014-35
|style="padding:.4em;"|HJ Han
|style="padding:.4em;text-align:left"|
[http://genome.cshlp.org/content/23/8/1319.long Mapping functional transcription factor networks from gene expression data.]
|-
|style="padding:.4em;"|2014-34
|style="padding:.4em;"|KS Kim
|style="padding:.4em;text-align:left"|
[http://www.nature.com/nrg/journal/v15/n7/full/nrg3684.html In pursuit of design principles of regulatory sequences.]
|-
|style="padding:.4em;" rowspan=2|2014/11/25
|style="padding:.4em;"|2014-33
|style="padding:.4em;"|KS Kim
|style="padding:.4em;text-align:left"|
[http://genomemedicine.com/content/3/6/36 Epigenomics of human embryonic stem cells and induced pluripotent stem cells: insights into pluripotency and implications for disease.]
|-
|style="padding:.4em;"|2014-32
|style="padding:.4em;"|HJ Han
|style="padding:.4em;text-align:left"|
[http://www.sciencedirect.com/science/article/pii/S009286741300891X Developmental fate and cellular maturity encoded in human regulatory DNA landscapes.]
|-
|style="padding:.4em;" rowspan=2|2014/11/18
|style="padding:.4em;"|2014-31
|style="padding:.4em;"|SM Yang
|style="padding:.4em;text-align:left"|
[http://genomemedicine.com/content/6/8/64 The 'dnet' approach promotes emerging research on cancer patient survival.]
|-
|style="padding:.4em;"|2014-30
|style="padding:.4em;"|HJ Han
|style="padding:.4em;text-align:left"|
[http://www.sciencedirect.com/science/article/pii/S0092867414010368 Determination and inference of eukaryotic transcription factor sequence specificity.]
|-
|style="padding:.4em;" rowspan=3|2014/11/11
|style="padding:.4em;"|2014-29
|style="padding:.4em;"|DS Bae
|style="padding:.4em;text-align:left"|
[http://www.pnas.org/content/110/16/6412.long Transcription factors interfering with dedifferentiation induce cell type-specific transcriptional profiles.]
|-
|style="padding:.4em;"|2014-28
|style="padding:.4em;"|HH Kim
|style="padding:.4em;text-align:left"|
[http://www.sciencedirect.com/science/article/pii/S0092867414009350 Dissecting engineered cell types and enhancing cell fate conversion via CellNet.]
|-
|style="padding:.4em;"|2014-27
|style="padding:.4em;"|HH Kim
|style="padding:.4em;text-align:left"|
[http://www.sciencedirect.com/science/article/pii/S0092867414009349 CellNet: network biology applied to stem cell engineering.]
|-
|style="padding:.4em;" rowspan=2|2014/11/04
|style="padding:.4em;"|2014-26
|style="padding:.4em;"|HS Shim
|style="padding:.4em;text-align:left"|
[http://www.sciencedirect.com/science/article/pii/S0092867414009775 Predicting Cancer-Specific Vulnerability via Data-Driven Detection of Synthetic Lethality.]
|-
|style="padding:.4em;"|2014-25
|style="padding:.4em;"|JH Shin
|style="padding:.4em;text-align:left"|
[http://www.nature.com/nmeth/journal/v11/n9/full/nmeth.3046.html Phen-Gen: combining phenotype and genotype to analyze rare disorders.]
|-
|style="padding:.4em;" rowspan=2|2014/10/28
|style="padding:.4em;"|2014-24
|style="padding:.4em;"|HJ Han
|style="padding:.4em;text-align:left"|
[http://www.nature.com/nbt/journal/vaop/ncurrent/full/nbt.2877.html A community effort to assess and improve drug sensitivity prediction algorithms.]
|-
|style="padding:.4em;"|2014-23
|style="padding:.4em;"|HS Shim
|style="padding:.4em;text-align:left"|
[http://www.nature.com/ng/journal/v46/n9/full/ng.3051.html Multi-tiered genomic analysis of head and neck cancer ties TP53 mutation to 3p loss.]
|-
|style="padding:.4em;" rowspan=2|2014/09/30
|style="padding:.4em;"|2014-22
|style="padding:.4em;"|JE Shim
|style="padding:.4em;text-align:left"|
[http://www.nature.com/nmeth/journal/v10/n11/full/nmeth.2651.html Network-based stratification of tumor mutations.]
|-
|style="padding:.4em;"|2014-21
|style="padding:.4em;"|KS Kim
|style="padding:.4em;text-align:left"|
[http://www.sciencedirect.com/science/article/pii/S0092867414001457 Synonymous mutations frequently act as driver mutations in human cancers.]
|-
|style="padding:.4em;" rowspan=2|2014/09/23
|style="padding:.4em;"|2014-20
|style="padding:.4em;"|CY Kim
|style="padding:.4em;text-align:left"|
[http://www.ploscompbiol.org/article/info%3Adoi%2F10.1371%2Fjournal.pcbi.1003460 VarWalker: Personalized Mutation Network Analysis of Putative Cancer Genes from Next-Generation Sequencing Data.]
|-
|style="padding:.4em;"|2014-19
|style="padding:.4em;"|HJ Han
|style="padding:.4em;text-align:left"|
[http://genomebiology.com/content/13/12/R124 DriverNet: uncovering the impact of somatic driver mutations on transcriptional networks in cancer.]
|-
|style="padding:.4em;" rowspan=2|2014/09/16
|style="padding:.4em;"|2014-18
|style="padding:.4em;"|JH Shin
|style="padding:.4em;text-align:left"|
[http://genomebiology.com/content/14/5/R52 Integrated analysis of recurrent properties of cancer genes to identify novel drivers.]
|-
|style="padding:.4em;"|2014-17
|style="padding:.4em;"|AR Cho
|style="padding:.4em;text-align:left"|
[http://genomemedicine.com/content/4/11/89 Improving the prediction of the functional impact of cancer mutations by baseline tolerance transformation.]
|-
|style="padding:.4em;" rowspan=2|2014/09/02
|style="padding:.4em;"|2014-16
|style="padding:.4em;"|JE Shim
|style="padding:.4em;text-align:left"|
[http://www.ncbi.nlm.nih.gov/pubmed/?term=23228031 A network module-based method for identifying cancer prognostic signatures.]
|-
|style="padding:.4em;"|2014-15
|style="padding:.4em;"|AR Cho
|style="padding:.4em;text-align:left"|
[http://www.ncbi.nlm.nih.gov/pubmed/?term=24429628 Realizing the promise of cancer predisposition genes.]
|-
|style="padding:.4em;" rowspan=2|2014/08/19
|style="padding:.4em;"|2014-14
|style="padding:.4em;"|JE Shim
|style="padding:.4em;text-align:left"|
[http://www.ncbi.nlm.nih.gov/pubmed/?term=24952901 Assessing the clinical utility of cancer genomic and proteomic data across tumor types.]
|-
|style="padding:.4em;"|2014-13
|style="padding:.4em;"|HS Shim
|style="padding:.4em;text-align:left"|
[http://www.ncbi.nlm.nih.gov/pubmed/?term=24132290 Mutational landscape and significance across 12 major cancer types.]
|-
|style="padding:.4em;" rowspan=2|2014/08/12
|style="padding:.4em;"|2014-12
|style="padding:.4em;"|HS Shim
|style="padding:.4em;text-align:left"|
[http://www.ncbi.nlm.nih.gov/pubmed/23945592 Signatures of mutational processes in human cancer.]
|-
|style="padding:.4em;"|2014-11
|style="padding:.4em;"|HJ Kim
|style="padding:.4em;text-align:left"|
[http://www.ncbi.nlm.nih.gov/pubmed/24390350 Discovery and saturation analysis of cancer genes across 21 tumour types.]
|-
|style="padding:.4em;" rowspan=2|2014/08/05
|style="padding:.4em;"|2014-10
|style="padding:.4em;"|CY Kim
|style="padding:.4em;text-align:left"|
[http://www.ncbi.nlm.nih.gov/pubmed/?term=24084849 Comprehensive identification of mutational cancer driver genes across 12 tumor types.]
|-
|style="padding:.4em;"|2014-9
|style="padding:.4em;"|JE Shim
|style="padding:.4em;text-align:left"|
[http://www.ncbi.nlm.nih.gov/pubmed/?term=24037244 IntOGen-mutations identifies cancer drivers across tumor types.]
|-
|style="padding:.4em;" rowspan=3|2014/07/29
|style="padding:.4em;"|2014-8
|style="padding:.4em;"|CY Kim
|style="padding:.4em;text-align:left"|
[http://www.ncbi.nlm.nih.gov/pubmed/23900255 Computational approaches to identify functional genetic variants in cancer genomes.]
|-
|style="padding:.4em;"|2014-7
|style="padding:.4em;"|AR Cho
|style="padding:.4em;text-align:left"|
[http://www.ncbi.nlm.nih.gov/pubmed/?term=23770567 Mutational heterogeneity in cancer and the search for new cancer-associated genes.]
|-
|style="padding:.4em;"|2014-6
|style="padding:.4em;"|AR Cho
|style="padding:.4em;text-align:left"|
[http://www.nature.com/nmeth/journal/v11/n4/abs/nmeth.2891.html Cancer genomes: discerning drivers from passengers]
|-
|style="padding:.4em;" rowspan=3|2014/07/22
|style="padding:.4em;"|2014-5
|style="padding:.4em;"|AR Cho
|style="padding:.4em;text-align:left"|
[http://www.ncbi.nlm.nih.gov/pubmed/24071849 The Cancer Genome Atlas Pan-Cancer analysis project.]
|-
|style="padding:.4em;"|2014-4
|style="padding:.4em;"|AR Cho
|style="padding:.4em;text-align:left"|
[http://www.ncbi.nlm.nih.gov/pubmed/23539594 Cancer genome landscapes.]
|-
|style="padding:.4em;"|2014-3
|style="padding:.4em;"|AR Cho
|style="padding:.4em;text-align:left"|
[http://www.ncbi.nlm.nih.gov/pubmed/?term=21900272 Distinguishing driver and passenger mutations in an evolutionary history categorized by interference.]
|-
|style="padding:.4em;" rowspan=2|2014/07/15
|style="padding:.4em;"|2014-2
|style="padding:.4em;"|HJ Han
|style="padding:.4em;text-align:left"|
[http://www.ncbi.nlm.nih.gov/pubmed/?term=24670764 A promoter-level mammalian expression atlas.]
|-
|style="padding:.4em;"|2014-1
|style="padding:.4em;"|HJ Han
|style="padding:.4em;text-align:left"|
[http://www.ncbi.nlm.nih.gov/pubmed/?term=24670763 An atlas of active enhancers across human cell types and tissues.]
|}
{|class=wikitable style="text-align:center;"
|+style="text-align:left;font-size:12pt" | 2013
|-
!scope="col" style="padding:.4em" | Date
!scope="col" style="padding:.4em" | Paper index
!scope="col" style="padding:.4em" | Presenter
!scope="col" style="padding:.4em" | Paper title
|-
|style="padding:.4em;" rowspan=2|2013/06/26
|style="padding:.4em;"|2013-31
|style="padding:.4em;"|HJ Han
|style="padding:.4em;text-align:left"|[http://nar.oxfordjournals.org/content/40/16/7690.long Integration of Hi-C and ChIP-seq data reveals distinct types of chromatin linkages]
|-
|style="padding:.4em;"|2013-30
|style="padding:.4em;"|YH Ko
|style="padding:.4em;text-align:left"|[http://www.nature.com/nbt/journal/v31/n4/full/nbt.2519.html Deciphering molecular circuits from genetic variation underlying transcriptional responsiveness to stimuli]
|-
|style="padding:.4em;" rowspan=2|2013/06/04
|style="padding:.4em;"|2013-29
|style="padding:.4em;"|KS Kim
|style="padding:.4em;text-align:left"|[https://www.cell.com/abstract/S0092-8674(13)00439-X Mapping the Human miRNA Interactome by CLASH Reveals Frequent Noncanonical Binding]
|-
|style="padding:.4em;"|2013-28
|style="padding:.4em;"|ER Kim
|style="padding:.4em;text-align:left"|[http://www.nature.com/nbt/journal/v31/n3/full/nbt.2514.html Sensitive detection of somatic point mutations in impure and heterogeneous cancer samples]
|-
|style="padding:.4em;" rowspan=2|2013/05/28
|style="padding:.4em;"|2013-27
|style="padding:.4em;"|YH Ko
|style="padding:.4em;text-align:left"|[http://www.pnas.org/content/102/38/13544.long Discovering statistically significant pathways in expression profiling studies]
|-
|style="padding:.4em;"|2013-26
|style="padding:.4em;"|JE Shim
|style="padding:.4em;text-align:left"|[http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0058977 Prediction and Validation of Gene-Disease Associations Using Methods Inspired by Social Network Analyses]
|-
|style="padding:.4em;" rowspan=2|2013/05/21
|style="padding:.4em;"|2013-25
|style="padding:.4em;"|HJ Han
|style="padding:.4em;text-align:left"|[http://www.nature.com/nature/journal/v496/n7446/full/nature11981.html Dynamic regulatory network controlling TH17 cell differentiation]
|-
|style="padding:.4em;"|2013-24
|style="padding:.4em;"|T Lee
|style="padding:.4em;text-align:left"|[http://www.sciencedirect.com/science/article/pii/S0092867412013529 Deciphering and Prediction of Transcriptome Dynamics under Fluctuating Field Conditions]

|-
|style="padding:.4em;" rowspan=2|2013/05/14
|style="padding:.4em;"|2013-23
|style="padding:.4em;"|JE Shim
|style="padding:.4em;text-align:left"|[http://www.sciencedirect.com/science/article/pii/S0092867412015565 Integrative eQTL-Based Analyses Reveal the Biology of Breast Cancer Risk Loci]

|-
|style="padding:.4em;"|2013-22
|style="padding:.4em;"|HJ Kim
|style="padding:.4em;text-align:left"|[http://www.nature.com/ng/journal/v45/n2/full/ng.2504.html Chromatin marks identify critical cell types for fine mapping complex trait variants]
|-
|style="padding:.4em;" rowspan=2|'''2013/05/07'''
|style="padding:.4em;"|2013-21
|style="padding:.4em;"|ER Kim
|style="padding:.4em;text-align:left"|[http://www.cell.com/abstract/S0092-8674(12)01555-3 Genome-wide Chromatin State Transitions Associated with Developmental and Environmental Cues]
|-
|style="padding:.4em;"|2013-20
|style="padding:.4em;"|HS Shim
|style="padding:.4em;text-align:left"|[http://www.plosgenetics.org/article/info%3Adoi%2F10.1371%2Fjournal.pgen.1003201 Human Disease-Associated Genetic Variation Impacts Large Intergenic Non-Coding RNA Expression]
|-
|style="padding:.4em;"|2013/04/09
|style="padding:.4em;"|2013-19
|style="padding:.4em;"|HJ Kim
|style="padding:.4em;text-align:left"|[http://genome.cshlp.org/content/22/9/1790.long Annotation of functional variation in personal genomes using RegulomeDB]
|-
|style="padding:.4em;"|2013/04/02
|style="padding:.4em;"|2013-18
|style="padding:.4em;"|HJ Kim
|style="padding:.4em;text-align:left"|[http://genome.cshlp.org/content/22/9/1775.long The GENCODE v7 catalog of human long noncoding RNAs: Analysis of their gene structure, evolution, and expression]
|-
|style="padding:.4em;" |2013/03/12
|style="padding:.4em;"|2013-17
|style="padding:.4em;"| ER Kim
|style="padding:.4em;text-align:left"|[http://www.plosgenetics.org/article/info%3Adoi%2F10.1371%2Fjournal.pgen.1002311 Global Mapping of Cell Type–Specific Open Chromatin by FAIRE-seq Reveals the Regulatory Role of the NFI Family in Adipocyte Differentiation]
|-
|style="padding:.4em;" rowspan=1|2013/03/05
|style="padding:.4em;"|2013-16
|style="padding:.4em;"| ER Kim
|style="padding:.4em;text-align:left"|[http://www.nature.com/nrg/journal/v10/n10/full/nrg2641.html ChIP–seq: advantages and challenges of a maturing technology]
|-
|style="padding:.4em;" rowspan=3|2013/02/21
|style="padding:.4em;"|2013-15
|style="padding:.4em;"| KS Kim
|style="padding:.4em;text-align:left"|[http://www.ploscompbiol.org/article/info%3Adoi%2F10.1371%2Fjournal.pcbi.1002830 Novel Modeling of Combinatorial miRNA Targeting Identifies SNP with Potential Role in Bone Density]
|-
|style="padding:.4em;"|2013-14
|style="padding:.4em;"| KS Kim
|style="padding:.4em;text-align:left"|[http://www.cell.com/abstract/S0092-8674(12)01424-9 A Molecular Roadmap of Reprogramming Somatic Cells into iPS Cells]
|-
|style="padding:.4em;"|2013-13
|style="padding:.4em;"| HJ Han
|style="padding:.4em;text-align:left"|[http://genome.cshlp.org/content/22/6/1015.long Differential DNase I hypersensitivity reveals factor-dependent chromatin dynamics.]
|-
|style="padding:.4em;" rowspan=3|2013/02/15
|style="padding:.4em;"|2013-12
|style="padding:.4em;"| HJ Han
|style="padding:.4em;text-align:left"|[http://www.nature.com/ng/journal/v43/n3/full/ng.759.html Chromatin accessibility pre-determines glucocorticoid receptor binding patterns]
|-
|style="padding:.4em;"|2013-11
|style="padding:.4em;"| JE Shim, CY Kim
|style="padding:.4em;text-align:left"|[http://www.nature.com/nbt/journal/v30/n11/full/nbt.2422.html Interpreting noncoding genetic variation in complex traits and human disease]
|-
|style="padding:.4em;"|2013-10
|style="padding:.4em;"|HJ Han, JH Kim
|style="padding:.4em;text-align:left"|[http://genome.cshlp.org/content/21/3/447.full.pdf+html Accurate inference of transcription factor binding from DNA sequence and chromatin accessibility data]
|-
|style="padding:.4em;" rowspan=3|2013/02/08
|style="padding:.4em;"|2013-09
|style="padding:.4em;"|HJ Kim
|style="padding:.4em;text-align:left"|[http://www.plosgenetics.org/article/info%3Adoi%2F10.1371%2Fjournal.pgen.1002599 Widespread Site-Dependent Buffering of Human Regulatory Polymorphism]
|-
|style="padding:.4em;"|2013-08
|style="padding:.4em;"|JE Shim, CY Kim
|style="padding:.4em;text-align:left;"|[http://genome.cshlp.org/content/22/9/1748.long Linking disease associations with regulatory information in the human genome]
|-
|style="padding:.4em;"|2013-07
|style="padding:.4em;"|HJ Han, JH Kim
|style="padding:.4em;text-align:left"|[http://genome.cshlp.org/content/22/9/1658.long Understanding transcriptional regulation by integrative analysis of transcription factor binding data]
|-
|style="padding:.4em;" rowspan=3|2013/01/25
|style="padding:.4em;"|2013-06
|style="padding:.4em;"|HJ Han, '''JH Kim'''
|style="padding:.4em;text-align:left;"|[http://www.nature.com/nature/journal/v489/n7414/full/nature11279.html The long-range interaction landscape of gene promoters]
|-
|style="padding:.4em;"|2013-05
|style="padding:.4em;"|'''ER Kim''', HS Shim
|style="padding:.4em;text-align:left;"|[http://www.nature.com/nature/journal/v489/n7414/full/nature11233.html Landscape of transcription in human cells]
|-
|style="padding:.4em;"|2013-04
|style="padding:.4em;"|'''HJ Han''', JH Kim
|style="padding:.4em;text-align:left;"|[http://www.nature.com/nature/journal/v489/n7414/full/nature11245.html Architecture of the human regulatory network derived from ENCODE data]

|-
|style="padding:.4em;" rowspan=2|2013/01/18
|style="padding:.4em;"|2013-03
|style="padding:.4em;"|KS Kim, '''TH Kim'''
|style="padding:.4em;text-align:left;"|[http://www.nature.com/nature/journal/v489/n7414/full/nature11212.html An expansive human regulatory lexicon encoded in transcription factor footprints]
|-
|style="padding:.4em;"|2013-02
|style="padding:.4em;"|'''HJ Han''', JH Kim
|style="padding:.4em;text-align:left;"|[http://www.nature.com/nature/journal/v489/n7414/full/nature11232.html The accessible chromatin landscape of the human genome]
|-
|style="padding:.4em;" rowspan=1|2013/01/11
|style="padding:.4em;"|2013-01
|style="padding:.4em;"| '''JE Shim''', CY Kim
|style="padding:.4em;text-align:left"|[http://www.nature.com/nature/journal/v489/n7414/full/nature11247.html An integrated encyclopedia of DNA elements in the human genome]
|}

2012
{|border ="1"
|style="color:black; background-color:#dcdcdc; padding:5px;" align="center" |Date
|style="color:black; background-color:#dcdcdc;" align="center"|Paper index
|style="color:black; background-color:#dcdcdc;" align="center"|Paper title
|-
|rowspan = "1"|2013/01/11
|align ="center"|2012-81
|[http://genome.cshlp.org/content/22/8/1589.full (TH Kim) MuSiC: identifying mutational significance in cancer genomes.]
|-
|rowspan = "1"|2012/12/04
|align ="center"|2012-80
|[http://genome.cshlp.org/content/22/8/1383 (CY KIM) Human genomic disease variants: A neutral evolutionary explanation]
|-
|rowspan = "2"|2012/11/20
| align="center"|2012-79
|[http://www.cell.com/abstract/S0092-8674(12)00639-3 (HS Shim) Circuitry and Dynamics of Human Transcription Factor Regulatory Networks]
|-
| align="center"|2012-78
|[http://www.nature.com/nature/journal/v487/n7408/full/nature11288.html (HJ Kim) Interpreting cancer genomes using systematic host network perturbations by tumour virus proteins]
|-
|rowspan = "2"|2012/11/06
| align="center"|2012-77
|[http://www.sciencemag.org/content/337/6099/1190.short (HJ Han) Systematic Localization of Common Disease-Associated Variation in Regulatory DNA]
|-
| align="center"|2012-76
|[http://www.pnas.org/cgi/doi/10.1073/pnas.1201904109 (KS Kim) A public resource facilitating clinical use of genomes]
|-
|rowspan = "6" |2012/07/19
| align="center"|2012-75
|[http://genome.cshlp.org/content/22/7/1334 (HJ Han & YH Ko) Predictive regulatory models in Drosophila melanogaster by integrative inference of transcriptional networks]
|-
| align="center"|2012-74
|[http://www.sciencemag.org/content/337/6090/100.full (JE Shim) An Abundance of Rare Functional Variants in 202 Drug Target Genes Sequenced in 14,002 People]
|-
| align="center"|2012-73
|[http://www.sciencemag.org/content/337/6090/64.abstract (JE Shim) Evolution and Functional Impact of Rare Coding Variation from Deep Sequencing of Human Exomes]
|-
| align="center"|2012-72
|[http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2063581/ (SH Hwang) Network-based classification of breast cancer metastasis]
|-
| align="center"|2012-71
|[http://www.plosgenetics.org/article/info%3Adoi%2F10.1371%2Fjournal.pgen.1002707 (T Lee&CY Kim)Brain Expression Genome-Wide Association Study (eGWAS) Identifies Human Disease-Associated Variants]
|-
| align="center"|2012-70
|[http://genome.cshlp.org/content/20/9/1297 (ER Kim&TH Kim)The Genome Analysis Toolkit: A MapReduce framework for analyzing next-generation DNA sequencing data]
|-
|rowspan = "8" |2012/07/16
| align="center"|2012-69
|[http://www.nature.com/ng/journal/v43/n5/full/ng.806.html (ER Kim&TH Kim)A framework for variation discovery and genotyping using next-generation DNA sequencing data]
|-
| align="center"|2012-66
|[http://bioinformatics.oxfordjournals.org/content/25/16/2078.long (ER Kim&TH Kim)The Sequence Alignment/Map format and SAMtools]
|-
| align="center"|2012-65
|[http://bioinformatics.oxfordjournals.org/content/early/2011/06/07/bioinformatics.btr330 (ER Kim&TH Kim)The Variant Call Format and VCFtools]
|-
| align="center"|2012-64
|[http://www.cell.com/abstract/S0092-8674(12)00104-3 (YH Go&HJ Han)The Impact of the Gut Microbiota on Human Health: An Integrative View]
|-
|align="center"|2012-63
|[http://www.sciencemag.org/content/336/6086/1262.abstract (T Lee&CY Kim)Host-Gut Microbiota Metabolic Interactions]
|-
|align="center"|2012-62
|[http://www.sciencemag.org/content/336/6086/1268.full (AR Cho,JH Ju)Interactions Between the Microbiota and the Immune System]
|-
|align="center"|2012-61
|[http://www.sciencemag.org/content/336/6086/1255.abstract (SH Hwang&HJ Cho)The Application of Ecological Theory Toward an Understanding of the Human Microbiome]
|-
|align="center"|2012-60
|[http://stm.sciencemag.org/content/4/137/137rv5 (SH Hwang&HJ Cho)Microbiota-Targeted Therapies: An Ecological Perspective]
|-
|rowspan = "3" |2012/07/13
|align="center"|2012-59
|[http://www.ploscompbiol.org/article/info%3Adoi%2F10.1371%2Fjournal.pcbi.1002358 (JH Shin&HJ Kim)Metabolic Reconstruction for Metagenomic Data and Its Application to the Human Microbiome]
|-
| align="center"|2012-58
|[http://www.nature.com/nature/journal/v486/n7402/full/nature11209.html (JH Shin&HJ Kim)A framework for human microbiome research]
|-
|align="center"|2012-57
|[http://www.nature.com/nature/journal/v486/n7402/full/nature11234.html (JH Shin&HJ Kim)Structure, function and diversity of the healthy human microbiome]
|-
|rowspan = "4" |2012/07/12
|align="center"|2012-56
|[http://nar.oxfordjournals.org/content/40/D1/D957.long (AR Cho&JH Ju)COLT-Cancer: functional genetic screening resource for essential genes in human cancer cell lines]
|-
|align="center"|2012-55
|[http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1002511 (YH Go&HJ Han)Google Goes Cancer: Improving Outcome Prediction for Cancer Patients by Network-Based Ranking of Marker Genes]
|-
| align="center"|2012-54
|[http://www.nature.com/msb/journal/v7/n1/full/msb201147.html (YH Go&HJ Han)A pharmacogenomic method for individualized prediction of drug sensitivity]
|-
|align="center"|2012-53
|[http://www.nature.com/nature/journal/vaop/ncurrent/full/nature10983.html (JH Soh)The genomic and transcriptomic architecture of 2,000 breast tumours reveals novel subgroups]
|-
|rowspan = "6" |2012/07/09
|align="center"|2012-52
|[http://www.nature.com/nature/journal/v483/n7391/full/nature11003.html (ER Kim&TH Kim)The Cancer Cell Line Encyclopedia enables predictive modelling of anticancer drug sensitivity]
|-
|align="center"|2012-51
|[http://www.nature.com/nature/journal/v483/n7391/full/nature11005.html (ER Kim&TH Kim)Systematic identification of genomic markers of drug sensitivity in cancer cells]
|-
| align="center"|2012-50
|[http://www.pnas.org/content/early/2011/10/13/1018854108.abstract (ER Kim&TH Kim)Subtype and pathway specific responses to anticancer compounds in breast cancer]
|-
|align="center"|2012-49
|[http://www.nature.com/nature/journal/vaop/ncurrent/full/nature10945.html (JE Shim&KS Kim)De novo mutations revealed by whole-exome sequencing are strongly associated with autism]
|-
|align="center"|2012-48
|[http://www.nature.com/nature/journal/vaop/ncurrent/full/nature11011.html (JE Shim&KS Kim)Patterns and rates of exonic de novo mutations in autism spectrum disorders]
|-
|align="center"|2012-47
|[http://www.nature.com/nature/journal/vaop/ncurrent/full/nature10989.html (JE Shim&KS Kim)Sporadic autism exomes reveal a highly interconnected protein network of de novo mutations]
|-
|rowspan = "6" |2012/07/06
| align="center"|2012-46
|[http://www.g3journal.org/content/1/3/233.full (T Lee&CY Kim)Integrating Rare-Variant Testing, Function Prediction, and Gene Network in Composite Resequencing-Based Genome-Wide Association Studies (CR-GWAS)]
|-
|align="center"|2012-45
|[http://www.plosgenetics.org/article/info:doi/10.1371/journal.pgen.1002621 (T Lee&CY Kim)Type 2 Diabetes Risk Alleles Demonstrate Extreme Directional Differentiation among Human Populations, Compared to Other Diseases]
|-
|align="center"|2012-44
|[http://www.nature.com/nature/journal/v480/n7376/full/nature10665.html (AR Cho&JH Ju)Predicting mutation outcome from early stochastic variation in genetic interaction partners]
|-
|align="center"|2012-43
|[http://www.sciencemag.org/content/335/6064/82 (AR Cho&JH Ju)Fitness Trade-Offs and Environmentally Induced Mutation Buffering in Isogenic C. elegans]
|-
| align="center"|2012-42
|[http://genome.cshlp.org/content/22/6/1163 (JE Shim&KS Kim)Identification of microRNA-regulated gene networks by expression analysis of target genes]
|-
|align="center"|2012-41
|[http://www.nature.com/ng/journal/v44/n6/full/ng.2303.html (JE Shim&KS Kim)Exome sequencing and the genetic basis of complex traits]
|-
|rowspan = "6" |2012/07/02
|align="center"|2012-40
|[http://www.cell.com/abstract/S0092-8674(12)00573-9 (JH Soh)Functional Repurposing Revealed by Comparing S. pombe and S. cerevisiae Genetic Interactions]
|-
|align="center"|2012-39
|[http://genome.cshlp.org/content/22/2/375.long (ER Kim&TH Kim)De novo discovery of mutated driver pathways in cancer]
|-
| align="center"|2012-38
|[http://www.nature.com/msb/journal/v4/n1/full/msb20082.html (YH Go&HJ Han)A systems biology approach to prediction of oncogenes and molecular perturbation targets in B-cell lymphomas]
|-
|align="center"|2012-37
|[http://www.nature.com/msb/journal/v7/n1/full/msb201126.html (SH Hwang&HJ Cho)PREDICT: a method for inferring novel drug indications with application to personalized medicine]
|-
|align="center"|2012-36
|[http://www.nature.com/nature/journal/v453/n7198/full/nature06973.html (SH Hwang&HJ Cho)Synergistic response to oncogenic mutations defines gene class critical to cancer phenotype]
|-
|align="center"|2012-35
|[http://www.sciencemag.org/content/334/6062/1518.full (JH Shin&HJ Kim)Detecting Novel Associations in Large Data Sets]
|-
|rowspan = "3" |2012/03/05
| align="center"|2012-34
|[http://www.ncbi.nlm.nih.gov/pubmed/18516045 (8,HH Kim)Mapping and quantifying mammalian transcriptomes by RNA-Seq.]
|-
|align="center"|2012-33
|[http://genomebiology.com/2010/11/10/R106 (11,Go&Ju)Differential expression analysis for sequence count data]
|-
|align="center"|2012-32
|[http://bioinformatics.oxfordjournals.org/content/26/1/139.short (12,Go&Ju)edgeR: a Bioconductor package for differential expression analysis of digital gene expression data ]
|-
|rowspan = "7" |2012/02/27 2012/02/28
| align="center"|2012-31
|[http://www.nature.com/nrg/journal/v10/n1/full/nrg2484.html (1,JW Song)RNA-Seq: a revolutionary tool for transcriptomics]
|-
|align="center"|2012-30
|[http://www.nature.com/nmeth/journal/v8/n6/full/nmeth.1613.html (2,JW Song)Computational methods for transcriptome annotation and quantification using RNA-seq]
|-
|align="center"|2012-29
|[http://genomebiology.com/2010/11/12/220 (3,HJ Han)From RNA-seq reads to differential expression results]
|-
|align="center"|2012-28
|[http://www.nature.com/nmeth/journal/v7/n9/full/nmeth.1491.html (4,AR Cho)Comprehensive comparative analysis of strand-specific RNA sequencing methods]
|-
|align="center"|2012-27
|[http://www.plosone.org/article/info:doi%2F10.1371%2Fjournal.pone.0026426 (5,T Lee)A Low-Cost Library Construction Protocol and Data Analysis Pipeline for Illumina-Based Strand-Specific Multiplex RNA-Seq]
|-
|align="center"|2012-26
|[http://www.nature.com/nbt/journal/v28/n5/abs/nbt.1621.html (6,So&Shin)Transcript assembly and quantification by RNA-Seq reveals unannotated transcripts and isoform switching during cell differentiation]
|-
|align="center"|2012-25
|[http://bioinformatics.oxfordjournals.org/content/25/9/1105.abstract (7,So&Shin)TopHat: discovering splice junctions with RNA-Seq]
|-
|rowspan = "5" |2012/02/06
| align="center"|2012-24
|[http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3125733/ mirConnX: condition-specific mRNA-microRNA network integrator]
|-
|align="center"|2012-23
|[http://www.ploscompbiol.org/article/info%3Adoi%2F10.1371%2Fjournal.pcbi.1002190 Construction and Analysis of an Integrated Regulatory Network Derived from High-Throughput Sequencing Data]
|-
|align="center"|2012-22
|[http://www.plosgenetics.org/article/info%3Adoi%2F10.1371%2Fjournal.pgen.1002415 A Densely Interconnected Genome-Wide Network of MicroRNAs and Oncogenic Pathways Revealed Using Gene Expression Signatures]
|-
|align="center"|2012-21
|[http://genome.cshlp.org/content/20/5/589.short Reprogramming of miRNA networks in cancer and leukemia]
|-
|align="center"|2012-20
|[http://www.cell.com/abstract/S0092-8674(11)01152-4 An Extensive MicroRNA-Mediated Network of RNA-RNA Interactions Regulates Established Oncogenic Pathways in Glioblastoma]
|-
|rowspan = "5" |2012/01/30
|align="center"|2012-19
|[http://www.cell.com/abstract/S0092-8674(11)00237-6 Principles and Strategies for Developing Network Models in Cancer]
|-
|align="center"|2012-18
|[http://www.nature.com/ng/journal/v37/n4/full/ng1532.html Reverse engineering of regulatory networks in human B cells]
|-
|align="center"|2012-17
|[http://www.nature.com/nature/journal/v452/n7186/abs/nature06757.html Variations in DNA elucidate molecular networks that cause disease]
|-
|align="center"|2012-16
|[http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2779083/ Harnessing gene expression to identify the genetic basis of drug resistance]
|-
|align="center"|2012-15
|[http://www.sciencedirect.com/science/article/pii/S0092867410012936 An Integrated Approach to Uncover Drivers of Cancer]
|-
|rowspan = "3" |2012/01/09
|align="center"|2012-14
|[http://www.ncbi.nlm.nih.gov/pubmed/18704161 Genetic variation in an individual human exome.]
|-
|align="center"|2012-13
|[http://www.ncbi.nlm.nih.gov/pubmed/22081227 Predicting phenotypic variation in yeast from individual genome sequences.]
|-
|align="center"|2012-12
|[http://www.ncbi.nlm.nih.gov/pubmed/20435227 Clinical assessment incorporating a personal genome.]
|-
|rowspan = "6" |2012/01/09 2012/01/16
| align="center"|2012-11
|[http://www.ncbi.nlm.nih.gov/pubmed/20399638 Human allelic variation: perspective from protein function, structure, and evolution.]
|-
|align="center"|2012-10
|[http://www.ncbi.nlm.nih.gov/pubmed/19561590 Predicting the effects of coding non-synonymous variants on protein function using the SIFT algorithm.]
|-
|align="center"|2012-09
|[http://www.ncbi.nlm.nih.gov/pubmed/11230178 Prediction of deleterious human alleles.]
|-
|align="center"|2012-08
|[http://www.ncbi.nlm.nih.gov/pubmed/12202775 Human non-synonymous SNPs: server and survey.]
|-
|align="center"|2012-07
|[http://www.ncbi.nlm.nih.gov/pubmed/20354512 A method and server for predicting damaging missense mutations.]
|-
|align="center"|2012-06
|[http://www.ncbi.nlm.nih.gov/pmc/articles/PMC1920242/ SNAP: predict effect of non-synonymous polymorphisms on function]
|-
|rowspan = "3" |2012/01/09 2012/01/16
|align="center"|2012-05
|[http://www.ncbi.nlm.nih.gov/pubmed/21920052 Computational and statistical approaches to analyzing variants identified by exome sequencing.]
|-
|align="center"|2012-04
|[http://www.ncbi.nlm.nih.gov/pubmed/18179889 Shifting paradigm of association studies: value of rare single-nucleotide polymorphisms.]
|-
|align="center"|2012-03
|[http://www.ncbi.nlm.nih.gov/pubmed/19684571 Targeted capture and massively parallel sequencing of 12 human exomes.]
|-
|rowspan = "2" |2012/01/09 2012/01/16
|align="center"|2012-02
|[http://www.ncbi.nlm.nih.gov/pubmed/17637733 The distribution of fitness effects of new mutations.]
|-
|align="center"|2012-01
|[http://www.ncbi.nlm.nih.gov/pmc/articles/PMC1852724/ Most Rare Missense Alleles Are Deleterious in Humans: Implications for Complex Disease and Association Studies]
|}
2011
{|border ="1"
|style="color:black; background-color:#dcdcdc;" align="center" |Date
|style="color:black; background-color:#dcdcdc;" align="center"|Paper_index
|style="color:black; background-color:#dcdcdc;" align="center"|Paper_title
|-
|rowspan = "6" |2011/11/28
|align="center"|2011-49
|[http://bmir.stanford.edu/file_asset/index.php/1407/BMIR-2009-1355.pdf (Shin)Data-Driven Methods to Discover Molecular Determinants of Serious Adverse Drug Events]
|-
|align="center"|2011-48
|[http://www.nature.com/nchembio/journal/v4/n11/abs/nchembio.118.html (Shin)Network pharmacology: the next paradigm in drug discovery]
|-
|align="center"|2011-47
|[http://www.nature.com/msb/journal/v7/n1/full/msb201171.html (Oh)Systematic exploration of synergistic drug pairs]
|-
|align="center"|2011-46
|[http://www.nature.com/msb/journal/v5/n1/full/msb200995.html (Shim)Chemogenomic profiling predicts antifungal synergies]
|-
|align="center"|2011-45
|[http://www.pnas.org/content/104/32/13086 (Beck)A strategy for predicting the chemosensitivity of human cancers and its application to drug discovery]
|-
|align="center"|2011-44
|[http://www.nature.com/nchembio/journal/v1/n7/full/nchembio747.html (Hwang)Analysis of drug-induced effect patterns to link structure and side effects of medicines]
|-
|rowspan = "3" |2011/11/14
|align="center"|2011-43
|[http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1000662 Network-Based Elucidation of Human Disease Similarities Reveals Common Functional Modules Enriched for Pluripotent Drug Targets]
|-
|align="center"|2011-42
|[http://www.nature.com/msb/journal/v7/n1/full/msb201131.html Cross-species discovery of syncretic drug combinations that potentiate the antifungal fluconazole]
|-
|align="center"|2011-41
|[http://www.nature.com/msb/journal/v7/n1/full/msb20115.html Analysis of multiple compound–protein interactions reveals novel bioactive molecules]
|-
|rowspan = "4" |2011/11/07
|align="center"|2011-40
|[http://www.nature.com/nbt/journal/v25/n10/abs/nbt1338.html Drug—target network]
|-
|align="center"|2011-39
|[http://www.nature.com/msb/journal/v6/n1/full/msb200998.html A side effect resource to capture phenotypic effects of drugs]
|-
|align="center"|2011-38
|[http://genome.cshlp.org/content/18/2/206.long Quantitative systems-level determinants of human genes targeted by successful drugs]
|-
|align="center"|2011-37
|[http://www.sciencemag.org/content/321/5886/263.short Drug Target Identification Using Side-Effect Similarity]
|-
|rowspan = "3" |2011/11/07
|align="center"|2011-36
|[http://stm.sciencemag.org/content/3/96/96ra77.short Discovery and Preclinical Validation of Drug Indications Using Compendia of Public Gene Expression Data]
|-
|align="center"|2011-35
|[http://bib.oxfordjournals.org/content/12/4/303.short Exploiting drug–disease relationships for computational drug repositioning]
|-
|align="center"|2011-34
|[http://www.springerlink.com/content/4489r051nu2t0ul1/ Drug Discovery in a Multidimensional World: Systems, Patterns, and Networks]
|-
|rowspan = "3" |2011/10/05
|align="center"|2011-33
|[http://genome.cshlp.org/content/20/7/960.full Analysis of membrane proteins in metagenomics: Networks of correlated environmental features and protein families]
|-
|align="center"|2011-32
|[http://www.pnas.org/content/106/5/1374.full Quantifying environmental adaptation of metabolic pathways in metagenomics]
|-
|align="center"|2011-31
|[http://www.pnas.org/content/104/35/13913.abstract Quantitative assessment of protein function prediction from metagenomics shotgun sequences]
|-
|rowspan = "4" |2011/10/04
|align="center"|2011-30
|[http://www.nature.com/nature/journal/v464/n7285/full/nature08821.html A human gut microbial gene catalogue established by metagenomic sequencing]
|-
|align="center"|2011-29
|[http://www.nature.com/nrmicro/journal/v6/n9/abs/nrmicro1935.html Molecular eco-systems biology: towards an understanding of community function]
|-
|align="center"|2011-28
|[http://genome.cshlp.org/content/early/2009/04/20/gr.085464.108 Microbial community profiling for human microbiome projects: Tools, techniques, and challenges]
|-
|align="center"|2011-27
|[http://www.nature.com/nrmicro/journal/v9/n4/full/nrmicro2540.html Unravelling the effects of the environment and host genotype on the gut microbiome]
|-
|rowspan = "2" |2011/09/19
|align="center"|2011-26
|[http://www.sciencemag.org/content/333/6042/596.full independently evolved virulence effectors converge onto hubs in a plant immune system Network]
|-
|align="center"|2011-25
|[http://www.sciencemag.org/content/333/6042/601.full Evidence for network evolution in an arabidopsis interactome Map]
|-
|rowspan = "2" |2011/09/05
|align="center"|2011-24
|[http://www.sciencedirect.com/science/article/pii/S0092867411005861 Exome Sequencing of Ion Channel Genes Reveals Complex Profiles Confounding Personal Risk Assessment in Epilepsy]
|-
|align="center"|2011-23
|[http://www.cell.com/abstract/S0092-8674(11)00543-5 Pluripotency factors in Embryonic stem cells Regulate Differentiation into Germ Layers]
|-
|rowspan = "2" |2011/09/22
|align="center"|2011-22
|[http://www.plosgenetics.org/article/info%3Adoi%2F10.1371%2Fjournal.pgen.1002077 Integrated Genome-scale predition of Detrimental Mutations in Transcription Networks]
|-
|align="center"|2011-21
|[http://www.nature.com/nrg/journal/v12/n4/abs/nrg2969.html From expression QTLs to personalized transcriptomics]
|-
|2011/06/20
|align="center"|2011-20
|[http://www.plosbiology.org/article/info%3Adoi%2F10.1371%2Fjournal.pbio.1001046 a user's guide to the encyclopedia of DNA elements(ENCODE)]
|-
|rowspan = "2" |2011/03/30
|align="center"|2011-19
|[http://www.nature.com/nature/journal/vaop/ncurrent/full/nature09944.html enterotypes of the human gut microbiome]
|-
|align="center"|2011-18
|[http://www.nature.com/msb/journal/v7/n1/full/msb20116.html toward molecular trait-based ecology, through intergration of biogeochemical, geographical and metagenomic data]
|-
|rowspan = "2" |2011/03/16
|align="center"|2011-17
|[http://www.plosgenetics.org/article/info%3Adoi%2F10.1371%2Fjournal.pgen.1002047 variable pathogenicity determines individual lifespan in ''caenorhabditis elegans'']
|-
|align="center"|2011-16
|[http://www.cell.com/abstract/S0092-8674(11)00371-0 a high-resolution ''c.elegans'' essential gene network based on phenotypic profiling of a complex tissue]
|-
|rowspan = "3" |2011/04/25
|align="center"|2011-15
|[http://www.ncbi.nlm.nih.gov/pubmed/21376230 Hallmarks of Cancer : The next generation]
|-
|align="center"|2011-14
|[http://www.cell.com/abstract/S0092-8674(11)00296-0 Mapping Cancer Origins]
|-
|align="center"|2011-13
|[http://www.cell.com/abstract/S0092-8674(11)00297-2 Genetic Interactions in Cancer Progression and Treatment]
|-
|rowspan = "2" |2011/04/11
|align="center"|2011-12
|[http://www.plosgenetics.org/article/info%3Adoi%2F10.1371%2Fjournal.pgen.1001273 Proteins encoded in genomic regions associated with immune-mediated disease physically interact and suggest underlying biology]
|-
|align="center"|2011-11
|***Changed!***
[http://www.ncbi.nlm.nih.gov/pubmed/19557189 Identifying relationships among genomic disease regions: predicting genes at pathogenic SNP associations and rare deletions]
|-
|rowspan = "2"|2011/03/28
|align="center"|2011-10
|[http://www.pnas.org/content/106/44/18843.long profiling translatomes of discrete cell populations resolves altered cellular priorities during hypoxia in Arabidopsis]
|-
|align="center"|2011-09
|[http://www.nature.com/msb/journal/v6/n1/full/msb201076.html cell-type specific analysis of translating RNAs in developing flowers reveals new levels of control]
|-
|rowspan = "2"|2011/03/14
|align="center"|2011-08
|[http://www.sciencedirect.com/science?_ob=ArticleURL&_udi=B6WSN-51SFHJD-1&_user=44062&_coverDate=01%2F07%2F2011&_rdoc=1&_fmt=high&_orig=search&_origin=search&_sort=d&_docanchor=&view=c&_acct=C000004738&_version=1&_urlVersion=0&_userid=44062&md5=2f6017aab4c794ed7e78fbbd8447077a&searchtype=a phenotypic landscape of a bacterial cell]
|-
|align="center"|2011-07
|[http://www.nature.com/msb/journal/v6/n1/full/msb2010107.html cross-species chemogenomic profiling reveals evolutionarily conserved drug mode of action]
|-
|rowspan = "2"|2011/02/28
|align="center"|2011-06
|[http://www.pnas.org/content/early/2010/09/23/1004666107.abstract genomic patterns of pleiotropy and the evolution of complexity]
|-
|align="center"|2011-05
|[http://www.ploscompbiol.org/article/info%3Adoi%2F10.1371%2Fjournal.pcbi.1001009 simultaneous genome-wide inference of physical, genetic, regulatory, and functional pathway]
|-
|2011/02/21
|align="center"|2011-04
|[http://www.nature.com/msb/journal/v6/n1/full/msb201071.html dynamic interaction networks in a hierarchically organized tissue]
|-
|2011/02/14
|align="center"|2011-03
|[http://www.sciencemag.org/content/330/6009/1385.abstract rewiring of genetic networks in response to DNA damage]
|-
|rowspan = "2"|2011/01/31
|align="center"|2011-02
|[http://www.nature.com/nrg/journal/v10/n9/abs/nrg2633.html Applying mass spectrometry-based proteomics to genetics, genomics and network biology]
|-
|align="center"|2011-01
|[http://physiolgenomics.physiology.org/content/33/1/18.long Data analysis and bioinformatics tools for tandem mass spectrometry in proteomics]
|}
2010
{|border ="1"
|style="color:black; background-color:#dcdcdc;" align="center" |Date
|style="color:black; background-color:#dcdcdc;" align="center"|Paper_index
|style="color:black; background-color:#dcdcdc;" align="center"|Paper_title
|-
|rowspan = "2"|2010/12/27
|align="center"|2010-29
|[http://www.nature.com/nature/journal/v467/n7312/full/nature09326.html Functional_roles_fornoise_in_genetic_circuits]
|-
|align="center"|2010-28
|[http://www.nature.com/ng/journal/v42/n7/full/ng.610.html Estimation_of_effect_size_distribution_from_genome-wide_association_studies_and_implications_for_future_discoveries]
|-
|rowspan = "2"|2010/11/15
|align="center"|2010-27
|[http://www.plosgenetics.org/article/info%3Adoi%2F10.1371%2Fjournal.pgen.1000932 Liver_and_Adipose_Expression_associated_SNPs_are_enriched_for_association_to_type_2_diabetes]
|-
|align="center"|2010-26
|[http://www.sciencedirect.com/science?_ob=ArticleURL&_udi=B8JDC-50J4MRJ-2&_user=44062&_coverDate=10%2F10%2F2010&_rdoc=1&_fmt=high&_orig=search&_origin=search&_sort=d&_docanchor=&view=c&_acct=C000004738&_version=1&_urlVersion=0&_userid=44062&md5=7667a67cf8ba3f68117b8d0ff85a8887&searchtype=a It's_the_machine_that_matters:_predicting_gene_function_and_phenotype_from_protein_networks]
|-
|rowspan = "2"|2010/11/01
|align="center"|2010-25
|[http://genome.cshlp.org/content/early/2010/06/15/gr.104216.109 A_genome-wide_map_of_human_genetic_interactions_inferred_from_radiation_hybrid_genotypes]
|-
|align="center"|2010-24
|[http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0012139 A_Genome-Wide_Gene_Function_Prediction_Resource_for_Drosophila_melanogaster]
|-
|2010/10/11
|align="center"|2010-23
|[http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2913399/?tool=pubmed Dissecting_spatio-temporal_protein_networks_driving_human_heart_development_and_related_disorders]
|-
|rowspan = "2"|2010/09/13
|align="center"|2010-22
|[http://www.nature.com/ng/journal/v42/n7/full/ng.600.html Transposable_elements_have_rewired_the_core_regulatory_network_of_human_embryonic_stem_cells]
|-
|align="center"|2010-21
|[http://www.nature.com/ng/journal/v42/n7/full/ng0710-557.html Limits_of_sequence_and_functional_conservation]
|-
|2010/05/26
|align="center"|2010-20
|[[media:100428_network_based_elucidation_of_human_disease_similarities_reveals_common_functional_modules_enriched_for_pluripotent_drug_targets.pdf|network_based_elucidation_of_human_disease_similarities_reveals_common_functional_modules_enriched_for_pluripotent_drug_targets.pdf]]
|-
|2010/05/19
|align="center"|2010-19
|[[media:100421_interpreting_metabolomic_profiles_using_unbiased_pathway_models.pdf|interpreting_metabolomic_profiles_using_unbiased_pathway_models.pdf]]
|-
|2010/04/21
|align="center"|2010-18
|[[media:100414_identification_of_networks_of_co_occurring_tumor_related_dna_copy_number_changes_using_a_genome_wide_scoringapproach.pdf|identification_of_networks_of_co_occurring_tumor_related_dna_copy_number_changes_using_a_genome_wide_scoringapproach.pdf]]
|-
|2010/04/14
|align="center"|2010-17
|[http://www.cell.com/retrieve/pii/S0092867410000796 an_atlas_of_combinatorial_transcriptional_regulation_in_mouse_and_man]
|-
|rowspan = "2" |2010/04/07
|align="center"|2010-16
|[http://www.pnas.org/content/early/2010/03/11/0910200107.long systematic_discovery_of_nonobvious_human_disease_models_through_orthologous_phenotypes]
|-
|align="center"|2010-15
|[http://www.nature.com/nature/journal/vaop/ncurrent/full/nature08800.html genome_side_association_study_of_107_phenotypes_in_Arabidopsis_thaliana_inbred_lines]
|-
|rowspan="2"|2010/03/31
|align="center"|2010-14
|[[media:100331_toward_stem_cell_systems_biology_from_molecules_to_networks_and_landscapes.pdf|toward_stem_cell_systems_biology_from_molecules_to_networks_and_landscapes.pdf]]
|-
|align="center"|2010-13
|[http://www.nature.com/nrm/journal/v10/n10/abs/nrm2766.html systems_biology_of_stem_cell_fate_and_cellular_reprogramming]
|-
|2010/03/24
|align="center"|2010-12
|[http://www.nature.com/nbt/journal/v27/n2/abs/nbt.1522.html dynamic_modularity_in_protein_interaction_networks_predicts_breast_cancer_outcome]
|-
|2010/01/18
|align="center"|2010-11
|JournalClub_100118_a_tutorial_on_statistical_methods_for_population_association_studies
|-
|2010/01/16
|align="center"|2010-10
|systems-level_dinamic_analyses_of_fate_change_in_murine_embryonic_stem_cells
|-
|2010/01/15
|align="center"|2010-09
|distinguishing_direct_versus_indirect_transcription_factor-DNA-interactions
|-
|2010/01/14
|align="center"|2010-08
|chemogenomic_profiling_predicts_antifungal_synergies
|-
|2010/01/13
|align="center"|2010-07
|edgetic_perturbation_models_of_human_inherited_disorders
|-
|2010/01/12
|align="center"|2010-06
|analysis_of_cell_fate_from_single-cell_gene_expression_profiles_in_C.elegans
|-
|2010/01/11
|align="center"|2010-05
|predicting_new_molecular_targets_for_known_drugs.pdf
Reference:SEA(Similarity Ensemble Approach)
|-
|2010/01/09
|align="center"|2010-04
|harnessing_gene_expression_to_identify_the_genetic_basis_of_drug_resistance
|-
|2010/01/08
|align="center"|2010-03
|an_integrative_approach_to_reveal_driver_gene_fusions_from_paired_end_sequencing_data_in_cancer
|-
|2010/01/07
|align="center"|2010-02
|a_phenotypic_profile_of_the_candida_albicans_regulatory_network
|-
|2010/01/06
|align="center"|2010-01
|a_global_view_of_protein_expression_in_human_cells_tissues_and_organs
|}