| 
			 | 
			
| Line 9: | 
Line 9: | 
|   | |-  |   | |-  | 
|   | |style="padding:.4em;" rowspan=5|Undecided  |   | |style="padding:.4em;" rowspan=5|Undecided  | 
| − | |style="padding:.4em;"|2013-xx  | + | |style="padding:.4em;"|2013-24  | 
| − | |style="padding:.4em;"|HJ Kim  | + | |style="padding:.4em;"|JE Shim  | 
| − | |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;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-xx  | + | |style="padding:.4em;"|2013-23  | 
|   | |style="padding:.4em;"|T Lee  |   | |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;text-align:left"|[http://www.sciencedirect.com/science/article/pii/S0092867412013529 Deciphering and Prediction of Transcriptome Dynamics under Fluctuating Field Conditions]  | 
|   | |-  |   | |-  | 
| − | |style="padding:.4em;"|2013-xx  | + | |style="padding:.4em;"|2013-22  | 
| − | |style="padding:.4em;"|JE Shim  | + | |style="padding:.4em;"|HJ Kim  | 
| − | |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;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;"|2013-xx  | + | |style="padding:.4em;"|2013-21  | 
| − | |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-xx
  | + |  | 
|   | |style="padding:.4em;"|ER Kim  |   | |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;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;" rowspan=2|'''2013/04/01'''  |   | |style="padding:.4em;" rowspan=2|'''2013/04/01'''  | 
| 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
 |