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| !scope="col" style="padding:.4em" | Paper title | | !scope="col" style="padding:.4em" | Paper title |
| |- | | |- |
− | |style="padding:.4em;" rowspan=1|2016/10/25 | + | |style="padding:.4em;" rowspan=1|2016/11/1 |
| |style="padding:.4em;"|2016-25 | | |style="padding:.4em;"|2016-25 |
| |style="padding:.4em;"|HJ Han | | |style="padding:.4em;"|HJ Han |
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| [http://www.ncbi.nlm.nih.gov/pubmed/27426982 Causal Mechanistic Regulatory Network for Glioblastoma Deciphered Using Systems Genetics Network Analysis.] | | [http://www.ncbi.nlm.nih.gov/pubmed/27426982 Causal Mechanistic Regulatory Network for Glioblastoma Deciphered Using Systems Genetics Network Analysis.] |
| |- | | |- |
− | |style="padding:.4em;" rowspan=1|2016/10/18 | + | |style="padding:.4em;" rowspan=1|2016/10/25 |
| |style="padding:.4em;"|2016-24 | | |style="padding:.4em;"|2016-24 |
| |style="padding:.4em;"|MY Lee | | |style="padding:.4em;"|MY Lee |
2016
Date
|
Paper index
|
Presenter
|
Paper title
|
2016/11/1
|
2016-25
|
HJ Han
|
Causal Mechanistic Regulatory Network for Glioblastoma Deciphered Using Systems Genetics Network Analysis.
|
2016/10/25
|
2016-24
|
MY Lee
|
Comprehensive analyses of tumor immunity: implications for cancer immunotherapy.
|
2016/10/11
|
2016-23
|
JE Shim
|
Widespread parainflammation in human cancer
|
2016/9/27
|
2016-22
|
ER Kim
|
Analysis of protein-coding genetic variation in 60,706 humans
|
2016/9/20
|
2016-21
|
SM Yang
|
Functional characterization of somatic mutations in cancer using network-based inference of protein activity
pubmed
fulltext
|
2016/9/13
|
2016-20
|
KS Kim
|
Exploiting single-cell expression to characterize co-expression replicability.
|
2016/9/6
|
2016-19
|
T Lee
|
Clonal neoantigens elicit T cell immunoreactivity and sensitivity to immune checkpoint blockade
|
2016/8/31
|
2016-18
|
DS Bae
|
A Computational Drug Repositioning Approach for Targeting Oncogenic Transcription Factors
|
2016/8/16
|
2016-17
|
JW Cho
|
The landscape of accessible chromatin in mammalian preimplantation embryos
|
2016/8/8
|
2016-16
|
EB Kim
|
Enhancer-promoter interactions are encoded by complex genomic signatures on looping chromatin
|
2016/8/1
|
2016-15
|
MY Lee
|
Personalized Immunomonitoring Uncovers Molecular Networks that Stratify Lupus Patients
|
2016/7/25
|
2016-14
|
CY Kim
|
Integration of summary data from GWAS and eQTL studies predicts complex trait gene targets
|
2016/7/18
|
2016-13
|
HJ Han
|
Identification of transcriptional regulators in the mouse immune system
|
2016/6/8
|
2016-12
|
DS Bae, CY Kim
|
Mapping the effects of drugs on the immune system
|
2016-11
|
DS Bae, CY Kim
|
Elucidating compound mechanism of action by network perturbation analysis
|
2016/6/1
|
2016-10
|
MY Lee,SM Cho
|
Integrative approaches for large-scale transcriptome-wide association studies
|
2016-9
|
MY Lee,SM Cho
|
Tissue-specific regulatory circuits reveal variable modular perturbations across complex diseases
|
2016/5/18
|
2016-8
|
CY Kim,SJ Kwon
|
Survey of variation in human transcription factors reveals prevalent DNA binding changes
|
2016-7
|
CY Kim,SJ Kwon
|
Large-scale identification of sequence variants influencing human transcription factor occupancy in vivo
|
2016/5/11
|
2016-6
|
DS Bae, CY Kim
|
Predicting Cancer-specific vulnerability via data-driven detection of synthetic lethality
|
2016-5
|
DS Bae, CY Kim
|
Dynamic regulatory network controlling Th17 cell differentiation
|
2016/5/4
|
2016-4
|
MY Lee,SM Cho
|
Characterization of the immunophenotypes and antigenomes of colorectal cancers reveals distinct tumor escape mechanisms and novel targets for immunotherapy
|
2016-3
|
MY Lee,SM Cho
|
Regulators of genetic risk of breast cancer identified by integrative network analysis
|
2016/4/27
|
2016-2
|
CY Kim,SJ Kwon
|
A predictive computational framework for direct reprogramming between human cell types
|
2016-1
|
CY Kim,SJ Kwon
|
CellNet: Network biology applied to stem cell engineering
|
2013
Date
|
Paper index
|
Presenter
|
Paper title
|
2013/06/26
|
2013-31
|
HJ Han
|
Integration of Hi-C and ChIP-seq data reveals distinct types of chromatin linkages
|
2013-30
|
YH Ko
|
Deciphering molecular circuits from genetic variation underlying transcriptional responsiveness to stimuli
|
2013/06/04
|
2013-29
|
KS Kim
|
Mapping the Human miRNA Interactome by CLASH Reveals Frequent Noncanonical Binding
|
2013-28
|
ER Kim
|
Sensitive detection of somatic point mutations in impure and heterogeneous cancer samples
|
2013/05/28
|
2013-27
|
YH Ko
|
Discovering statistically significant pathways in expression profiling studies
|
2013-26
|
JE Shim
|
Prediction and Validation of Gene-Disease Associations Using Methods Inspired by Social Network Analyses
|
2013/05/21
|
2013-25
|
HJ Han
|
Dynamic regulatory network controlling TH17 cell differentiation
|
2013-24
|
T Lee
|
Deciphering and Prediction of Transcriptome Dynamics under Fluctuating Field Conditions
|
2013/05/14
|
2013-23
|
JE Shim
|
Integrative eQTL-Based Analyses Reveal the Biology of Breast Cancer Risk Loci
|
2013-22
|
HJ Kim
|
Chromatin marks identify critical cell types for fine mapping complex trait variants
|
2013/05/07
|
2013-21
|
ER Kim
|
Genome-wide Chromatin State Transitions Associated with Developmental and Environmental Cues
|
2013-20
|
HS Shim
|
Human Disease-Associated Genetic Variation Impacts Large Intergenic Non-Coding RNA Expression
|
2013/04/09
|
2013-19
|
HJ Kim
|
Annotation of functional variation in personal genomes using RegulomeDB
|
2013/04/02
|
2013-18
|
HJ Kim
|
The GENCODE v7 catalog of human long noncoding RNAs: Analysis of their gene structure, evolution, and expression
|
2013/03/12
|
2013-17
|
ER Kim
|
Global Mapping of Cell Type–Specific Open Chromatin by FAIRE-seq Reveals the Regulatory Role of the NFI Family in Adipocyte Differentiation
|
2013/03/05
|
2013-16
|
ER Kim
|
ChIP–seq: advantages and challenges of a maturing technology
|
2013/02/21
|
2013-15
|
KS Kim
|
Novel Modeling of Combinatorial miRNA Targeting Identifies SNP with Potential Role in Bone Density
|
2013-14
|
KS Kim
|
A Molecular Roadmap of Reprogramming Somatic Cells into iPS Cells
|
2013-13
|
HJ Han
|
Differential DNase I hypersensitivity reveals factor-dependent chromatin dynamics.
|
2013/02/15
|
2013-12
|
HJ Han
|
Chromatin accessibility pre-determines glucocorticoid receptor binding patterns
|
2013-11
|
JE Shim, CY Kim
|
Interpreting noncoding genetic variation in complex traits and human disease
|
2013-10
|
HJ Han, JH Kim
|
Accurate inference of transcription factor binding from DNA sequence and chromatin accessibility data
|
2013/02/08
|
2013-09
|
HJ Kim
|
Widespread Site-Dependent Buffering of Human Regulatory Polymorphism
|
2013-08
|
JE Shim, CY Kim
|
Linking disease associations with regulatory information in the human genome
|
2013-07
|
HJ Han, JH Kim
|
Understanding transcriptional regulation by integrative analysis of transcription factor binding data
|
2013/01/25
|
2013-06
|
HJ Han, JH Kim
|
The long-range interaction landscape of gene promoters
|
2013-05
|
ER Kim, HS Shim
|
Landscape of transcription in human cells
|
2013-04
|
HJ Han, JH Kim
|
Architecture of the human regulatory network derived from ENCODE data
|
2013/01/18
|
2013-03
|
KS Kim, TH Kim
|
An expansive human regulatory lexicon encoded in transcription factor footprints
|
2013-02
|
HJ Han, JH Kim
|
The accessible chromatin landscape of the human genome
|
2013/01/11
|
2013-01
|
JE Shim, CY Kim
|
An integrated encyclopedia of DNA elements in the human genome
|
Date
|
Paper index
|
Paper title
|
2013/01/11
|
2012-81
|
(TH Kim) MuSiC: identifying mutational significance in cancer genomes.
|
2012/12/04
|
2012-80
|
(CY KIM) Human genomic disease variants: A neutral evolutionary explanation
|
2012/11/20
|
2012-79
|
(HS Shim) Circuitry and Dynamics of Human Transcription Factor Regulatory Networks
|
2012-78
|
(HJ Kim) Interpreting cancer genomes using systematic host network perturbations by tumour virus proteins
|
2012/11/06
|
2012-77
|
(HJ Han) Systematic Localization of Common Disease-Associated Variation in Regulatory DNA
|
2012-76
|
(KS Kim) A public resource facilitating clinical use of genomes
|
2012/07/19
|
2012-75
|
(HJ Han & YH Ko) Predictive regulatory models in Drosophila melanogaster by integrative inference of transcriptional networks
|
2012-74
|
(JE Shim) An Abundance of Rare Functional Variants in 202 Drug Target Genes Sequenced in 14,002 People
|
2012-73
|
(JE Shim) Evolution and Functional Impact of Rare Coding Variation from Deep Sequencing of Human Exomes
|
2012-72
|
(SH Hwang) Network-based classification of breast cancer metastasis
|
2012-71
|
(T Lee&CY Kim)Brain Expression Genome-Wide Association Study (eGWAS) Identifies Human Disease-Associated Variants
|
2012-70
|
(ER Kim&TH Kim)The Genome Analysis Toolkit: A MapReduce framework for analyzing next-generation DNA sequencing data
|
2012/07/16
|
2012-69
|
(ER Kim&TH Kim)A framework for variation discovery and genotyping using next-generation DNA sequencing data
|
2012-66
|
(ER Kim&TH Kim)The Sequence Alignment/Map format and SAMtools
|
2012-65
|
(ER Kim&TH Kim)The Variant Call Format and VCFtools
|
2012-64
|
(YH Go&HJ Han)The Impact of the Gut Microbiota on Human Health: An Integrative View
|
2012-63
|
(T Lee&CY Kim)Host-Gut Microbiota Metabolic Interactions
|
2012-62
|
(AR Cho,JH Ju)Interactions Between the Microbiota and the Immune System
|
2012-61
|
(SH Hwang&HJ Cho)The Application of Ecological Theory Toward an Understanding of the Human Microbiome
|
2012-60
|
(SH Hwang&HJ Cho)Microbiota-Targeted Therapies: An Ecological Perspective
|
2012/07/13
|
2012-59
|
(JH Shin&HJ Kim)Metabolic Reconstruction for Metagenomic Data and Its Application to the Human Microbiome
|
2012-58
|
(JH Shin&HJ Kim)A framework for human microbiome research
|
2012-57
|
(JH Shin&HJ Kim)Structure, function and diversity of the healthy human microbiome
|
2012/07/12
|
2012-56
|
(AR Cho&JH Ju)COLT-Cancer: functional genetic screening resource for essential genes in human cancer cell lines
|
2012-55
|
(YH Go&HJ Han)Google Goes Cancer: Improving Outcome Prediction for Cancer Patients by Network-Based Ranking of Marker Genes
|
2012-54
|
(YH Go&HJ Han)A pharmacogenomic method for individualized prediction of drug sensitivity
|
2012-53
|
(JH Soh)The genomic and transcriptomic architecture of 2,000 breast tumours reveals novel subgroups
|
2012/07/09
|
2012-52
|
(ER Kim&TH Kim)The Cancer Cell Line Encyclopedia enables predictive modelling of anticancer drug sensitivity
|
2012-51
|
(ER Kim&TH Kim)Systematic identification of genomic markers of drug sensitivity in cancer cells
|
2012-50
|
(ER Kim&TH Kim)Subtype and pathway specific responses to anticancer compounds in breast cancer
|
2012-49
|
(JE Shim&KS Kim)De novo mutations revealed by whole-exome sequencing are strongly associated with autism
|
2012-48
|
(JE Shim&KS Kim)Patterns and rates of exonic de novo mutations in autism spectrum disorders
|
2012-47
|
(JE Shim&KS Kim)Sporadic autism exomes reveal a highly interconnected protein network of de novo mutations
|
2012/07/06
|
2012-46
|
(T Lee&CY Kim)Integrating Rare-Variant Testing, Function Prediction, and Gene Network in Composite Resequencing-Based Genome-Wide Association Studies (CR-GWAS)
|
2012-45
|
(T Lee&CY Kim)Type 2 Diabetes Risk Alleles Demonstrate Extreme Directional Differentiation among Human Populations, Compared to Other Diseases
|
2012-44
|
(AR Cho&JH Ju)Predicting mutation outcome from early stochastic variation in genetic interaction partners
|
2012-43
|
(AR Cho&JH Ju)Fitness Trade-Offs and Environmentally Induced Mutation Buffering in Isogenic C. elegans
|
2012-42
|
(JE Shim&KS Kim)Identification of microRNA-regulated gene networks by expression analysis of target genes
|
2012-41
|
(JE Shim&KS Kim)Exome sequencing and the genetic basis of complex traits
|
2012/07/02
|
2012-40
|
(JH Soh)Functional Repurposing Revealed by Comparing S. pombe and S. cerevisiae Genetic Interactions
|
2012-39
|
(ER Kim&TH Kim)De novo discovery of mutated driver pathways in cancer
|
2012-38
|
(YH Go&HJ Han)A systems biology approach to prediction of oncogenes and molecular perturbation targets in B-cell lymphomas
|
2012-37
|
(SH Hwang&HJ Cho)PREDICT: a method for inferring novel drug indications with application to personalized medicine
|
2012-36
|
(SH Hwang&HJ Cho)Synergistic response to oncogenic mutations defines gene class critical to cancer phenotype
|
2012-35
|
(JH Shin&HJ Kim)Detecting Novel Associations in Large Data Sets
|
2012/03/05
|
2012-34
|
(8,HH Kim)Mapping and quantifying mammalian transcriptomes by RNA-Seq.
|
2012-33
|
(11,Go&Ju)Differential expression analysis for sequence count data
|
2012-32
|
(12,Go&Ju)edgeR: a Bioconductor package for differential expression analysis of digital gene expression data
|
2012/02/27 2012/02/28
|
2012-31
|
(1,JW Song)RNA-Seq: a revolutionary tool for transcriptomics
|
2012-30
|
(2,JW Song)Computational methods for transcriptome annotation and quantification using RNA-seq
|
2012-29
|
(3,HJ Han)From RNA-seq reads to differential expression results
|
2012-28
|
(4,AR Cho)Comprehensive comparative analysis of strand-specific RNA sequencing methods
|
2012-27
|
(5,T Lee)A Low-Cost Library Construction Protocol and Data Analysis Pipeline for Illumina-Based Strand-Specific Multiplex RNA-Seq
|
2012-26
|
(6,So&Shin)Transcript assembly and quantification by RNA-Seq reveals unannotated transcripts and isoform switching during cell differentiation
|
2012-25
|
(7,So&Shin)TopHat: discovering splice junctions with RNA-Seq
|
2012/02/06
|
2012-24
|
mirConnX: condition-specific mRNA-microRNA network integrator
|
2012-23
|
Construction and Analysis of an Integrated Regulatory Network Derived from High-Throughput Sequencing Data
|
2012-22
|
A Densely Interconnected Genome-Wide Network of MicroRNAs and Oncogenic Pathways Revealed Using Gene Expression Signatures
|
2012-21
|
Reprogramming of miRNA networks in cancer and leukemia
|
2012-20
|
An Extensive MicroRNA-Mediated Network of RNA-RNA Interactions Regulates Established Oncogenic Pathways in Glioblastoma
|
2012/01/30
|
2012-19
|
Principles and Strategies for Developing Network Models in Cancer
|
2012-18
|
Reverse engineering of regulatory networks in human B cells
|
2012-17
|
Variations in DNA elucidate molecular networks that cause disease
|
2012-16
|
Harnessing gene expression to identify the genetic basis of drug resistance
|
2012-15
|
An Integrated Approach to Uncover Drivers of Cancer
|
2012/01/09
|
2012-14
|
Genetic variation in an individual human exome.
|
2012-13
|
Predicting phenotypic variation in yeast from individual genome sequences.
|
2012-12
|
Clinical assessment incorporating a personal genome.
|
2012/01/09 2012/01/16
|
2012-11
|
Human allelic variation: perspective from protein function, structure, and evolution.
|
2012-10
|
Predicting the effects of coding non-synonymous variants on protein function using the SIFT algorithm.
|
2012-09
|
Prediction of deleterious human alleles.
|
2012-08
|
Human non-synonymous SNPs: server and survey.
|
2012-07
|
A method and server for predicting damaging missense mutations.
|
2012-06
|
SNAP: predict effect of non-synonymous polymorphisms on function
|
2012/01/09 2012/01/16
|
2012-05
|
Computational and statistical approaches to analyzing variants identified by exome sequencing.
|
2012-04
|
Shifting paradigm of association studies: value of rare single-nucleotide polymorphisms.
|
2012-03
|
Targeted capture and massively parallel sequencing of 12 human exomes.
|
2012/01/09 2012/01/16
|
2012-02
|
The distribution of fitness effects of new mutations.
|
2012-01
|
Most Rare Missense Alleles Are Deleterious in Humans: Implications for Complex Disease and Association Studies
|
Date
|
Paper_index
|
Paper_title
|
2011/11/28
|
2011-49
|
(Shin)Data-Driven Methods to Discover Molecular Determinants of Serious Adverse Drug Events
|
2011-48
|
(Shin)Network pharmacology: the next paradigm in drug discovery
|
2011-47
|
(Oh)Systematic exploration of synergistic drug pairs
|
2011-46
|
(Shim)Chemogenomic profiling predicts antifungal synergies
|
2011-45
|
(Beck)A strategy for predicting the chemosensitivity of human cancers and its application to drug discovery
|
2011-44
|
(Hwang)Analysis of drug-induced effect patterns to link structure and side effects of medicines
|
2011/11/14
|
2011-43
|
Network-Based Elucidation of Human Disease Similarities Reveals Common Functional Modules Enriched for Pluripotent Drug Targets
|
2011-42
|
Cross-species discovery of syncretic drug combinations that potentiate the antifungal fluconazole
|
2011-41
|
Analysis of multiple compound–protein interactions reveals novel bioactive molecules
|
2011/11/07
|
2011-40
|
Drug—target network
|
2011-39
|
A side effect resource to capture phenotypic effects of drugs
|
2011-38
|
Quantitative systems-level determinants of human genes targeted by successful drugs
|
2011-37
|
Drug Target Identification Using Side-Effect Similarity
|
2011/11/07
|
2011-36
|
Discovery and Preclinical Validation of Drug Indications Using Compendia of Public Gene Expression Data
|
2011-35
|
Exploiting drug–disease relationships for computational drug repositioning
|
2011-34
|
Drug Discovery in a Multidimensional World: Systems, Patterns, and Networks
|
2011/10/05
|
2011-33
|
Analysis of membrane proteins in metagenomics: Networks of correlated environmental features and protein families
|
2011-32
|
Quantifying environmental adaptation of metabolic pathways in metagenomics
|
2011-31
|
Quantitative assessment of protein function prediction from metagenomics shotgun sequences
|
2011/10/04
|
2011-30
|
A human gut microbial gene catalogue established by metagenomic sequencing
|
2011-29
|
Molecular eco-systems biology: towards an understanding of community function
|
2011-28
|
Microbial community profiling for human microbiome projects: Tools, techniques, and challenges
|
2011-27
|
Unravelling the effects of the environment and host genotype on the gut microbiome
|
2011/09/19
|
2011-26
|
independently evolved virulence effectors converge onto hubs in a plant immune system Network
|
2011-25
|
Evidence for network evolution in an arabidopsis interactome Map
|
2011/09/05
|
2011-24
|
Exome Sequencing of Ion Channel Genes Reveals Complex Profiles Confounding Personal Risk Assessment in Epilepsy
|
2011-23
|
Pluripotency factors in Embryonic stem cells Regulate Differentiation into Germ Layers
|
2011/09/22
|
2011-22
|
Integrated Genome-scale predition of Detrimental Mutations in Transcription Networks
|
2011-21
|
From expression QTLs to personalized transcriptomics
|
2011/06/20
|
2011-20
|
a user's guide to the encyclopedia of DNA elements(ENCODE)
|
2011/03/30
|
2011-19
|
enterotypes of the human gut microbiome
|
2011-18
|
toward molecular trait-based ecology, through intergration of biogeochemical, geographical and metagenomic data
|
2011/03/16
|
2011-17
|
variable pathogenicity determines individual lifespan in caenorhabditis elegans
|
2011-16
|
a high-resolution c.elegans essential gene network based on phenotypic profiling of a complex tissue
|
2011/04/25
|
2011-15
|
Hallmarks of Cancer : The next generation
|
2011-14
|
Mapping Cancer Origins
|
2011-13
|
Genetic Interactions in Cancer Progression and Treatment
|
2011/04/11
|
2011-12
|
Proteins encoded in genomic regions associated with immune-mediated disease physically interact and suggest underlying biology
|
2011-11
|
***Changed!***
Identifying relationships among genomic disease regions: predicting genes at pathogenic SNP associations and rare deletions
|
2011/03/28
|
2011-10
|
profiling translatomes of discrete cell populations resolves altered cellular priorities during hypoxia in Arabidopsis
|
2011-09
|
cell-type specific analysis of translating RNAs in developing flowers reveals new levels of control
|
2011/03/14
|
2011-08
|
phenotypic landscape of a bacterial cell
|
2011-07
|
cross-species chemogenomic profiling reveals evolutionarily conserved drug mode of action
|
2011/02/28
|
2011-06
|
genomic patterns of pleiotropy and the evolution of complexity
|
2011-05
|
simultaneous genome-wide inference of physical, genetic, regulatory, and functional pathway
|
2011/02/21
|
2011-04
|
dynamic interaction networks in a hierarchically organized tissue
|
2011/02/14
|
2011-03
|
rewiring of genetic networks in response to DNA damage
|
2011/01/31
|
2011-02
|
Applying mass spectrometry-based proteomics to genetics, genomics and network biology
|
2011-01
|
Data analysis and bioinformatics tools for tandem mass spectrometry in proteomics
|