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
 
 | 
 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
 |