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|  | |style="padding:.4em;" rowspan=2|2019/10/08 |  | |style="padding:.4em;" rowspan=2|2019/10/08 | 
|  | |style="padding:.4em;" rowspan=2|Single-cell |  | |style="padding:.4em;" rowspan=2|Single-cell | 
| − | |style="padding:.4em;"|19-49 | + | |style="padding:.4em;"|19-45 | 
| − | |style="padding:.4em;"|JH Cha | + | |style="padding:.4em;"|SB Baek | 
|  | |style="padding:.4em;text-align:left"| |  | |style="padding:.4em;text-align:left"| | 
| − | [https://genome.cshlp.org/content/early/2019/04/01/gr.243725.118 The accessible chromatinlandscape ofthe murine hippocampus at single-cellresolution] | + | [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;"|19-48 |  | |style="padding:.4em;"|19-48 | 
| Line 46: | Line 46: | 
|  | |style="padding:.4em;" rowspan=2|2019/09/24 |  | |style="padding:.4em;" rowspan=2|2019/09/24 | 
|  | |style="padding:.4em;" rowspan=2|Single-cell |  | |style="padding:.4em;" rowspan=2|Single-cell | 
| − | |style="padding:.4em;"|19-45 | + | |style="padding:.4em;"|19-49 | 
| − | |style="padding:.4em;"|SB Baek | + | |style="padding:.4em;"|JH Cha | 
|  | |style="padding:.4em;text-align:left"| |  | |style="padding:.4em;text-align:left"| | 
| − | [https://www.nature.com/articles/s41587-019-0206-z Massively parallel single-cell chromatinlandscapes ofhuman immune cell development and intratumoral T cellexhaustion] | + | [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;"|19-44 |  | |style="padding:.4em;"|19-44 | 
 2016
| Date | Paper index
 | Presenter | Paper title | 
| 2016/12/27 | 2016-31 | EB Kim | Decoding the regulatory network of early blood development from single-cell gene expression measurements.
 | 
| 2016/12/6 | 2016-30 | KS Kim | Single-Cell RNA-Seq with Waterfall Reveals Molecular Cascades underlying Adult Neurogenesis.
 | 
| 2016/11/29 | 2016-29 | DS Bae | The dynamics and regulators of cell fate decisions are revealed by pseudotemporal ordering of single cells.
 | 
| 2016/11/22 | 2016-28 | CY Kim | Classification of low quality cells from single-cell RNA-seq data.
 | 
| 2016/11/15 | 2016-27 | MY Lee | Droplet barcoding for single-cell transcriptomics applied to embryonic stem cells.
 | 
| 2016/11/8 | 2016-26 | JW Cho | Highly Parallel Genome-wide Expression Profiling of Individual Cells Using Nanoliter Droplets.
 | 
| 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
 | 
| 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 |