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Line 4: |
Line 4: |
| |style="color:black; background-color:#dcdcdc;" align="center"|Paper_title | | |style="color:black; background-color:#dcdcdc;" align="center"|Paper_title |
| |- | | |- |
− | |rowspan = "43" |2012/07/02 | + | |rowspan = "39" |2012/07/02 |
| ~2012/07/19 | | ~2012/07/19 |
− | | align="center"|2012-77 | + | | align="center"|2012-73 |
| |[http://compbio.mit.edu/publications/68_Marbach_GenomeResearch_12.pdf (HJ Han & YH Ko) Predictive regulatory models in Drosophila melanogaster by integrative inference of transcriptional networks] | | |[http://compbio.mit.edu/publications/68_Marbach_GenomeResearch_12.pdf (HJ Han & YH Ko) Predictive regulatory models in Drosophila melanogaster by integrative inference of transcriptional networks] |
| |- | | |- |
− | | align="center"|2012-76 | + | | align="center"|2012-72 |
| |[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] | | |[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"|2012-75 | + | | align="center"|2012-71 |
| |[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] | | |[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"|2012-74 | + | | align="center"|2012-70 |
− | |[http://www.nature.com/nature/journal/vaop/ncurrent/full/nature10933.html (Ara Cho) The clonal and mutational evolution spectrum of primary triple-negative breast cancers]
| + | |
− | |-
| + | |
− | | align="center"|2012-73
| + | |
| |[http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2063581/ (SH Hwang) Network-based classification of breast cancer metastasis] | | |[http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2063581/ (SH Hwang) Network-based classification of breast cancer metastasis] |
| |- | | |- |
− | | align="center"|2012-72 | + | | align="center"|2012-69 |
− | |[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"|2012-71
| + | |
− | |[http://www.pnas.org/cgi/pmidlookup?view=long&pmid=22499789 (T Lee&CY Kim)Expression-based genome-wide association study links the receptor CD44 in adipose tissue with type 2 diabetes]
| + | |
− | |-
| + | |
− | | 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] | | |[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] |
| |- | | |- |
− | | align="center"|2012-69 | + | | align="center"|2012-68 |
| |[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] | | |[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"|2012-68 | + | | align="center"|2012-67 |
| |[http://bioinformatics.oxfordjournals.org/content/25/16/2078.long (ER Kim&TH Kim)The Sequence Alignment/Map format and SAMtools] | | |[http://bioinformatics.oxfordjournals.org/content/25/16/2078.long (ER Kim&TH Kim)The Sequence Alignment/Map format and SAMtools] |
| |- | | |- |
− | | align="center"|2012-67 | + | | align="center"|2012-66 |
| |[http://bioinformatics.oxfordjournals.org/content/early/2011/06/07/bioinformatics.btr330 (ER Kim&TH Kim)The Variant Call Format and VCFtools] | | |[http://bioinformatics.oxfordjournals.org/content/early/2011/06/07/bioinformatics.btr330 (ER Kim&TH Kim)The Variant Call Format and VCFtools] |
| |- | | |- |
− | | align="center"|2012-66 | + | | align="center"|2012-65 |
| |[http://www.cell.com/abstract/S0092-8674(12)00104-3 (YH Go&HS Han)The Impact of the Gut Microbiota on Human Health: An Integrative View] | | |[http://www.cell.com/abstract/S0092-8674(12)00104-3 (YH Go&HS Han)The Impact of the Gut Microbiota on Human Health: An Integrative View] |
| |- | | |- |
− | |align="center"|2012-65 | + | |align="center"|2012-64 |
| |[http://www.sciencemag.org/content/336/6086/1262.abstract (T Lee&CY Kim)Host-Gut Microbiota Metabolic Interactions] | | |[http://www.sciencemag.org/content/336/6086/1262.abstract (T Lee&CY Kim)Host-Gut Microbiota Metabolic Interactions] |
| |- | | |- |
− | |align="center"|2012-64 | + | |align="center"|2012-63 |
| |[http://stm.sciencemag.org/content/4/137/137rv6 (T Lee&CY Kim)Therapeutic Modulation of Microbiota-Host Metabolic Interactions] | | |[http://stm.sciencemag.org/content/4/137/137rv6 (T Lee&CY Kim)Therapeutic Modulation of Microbiota-Host Metabolic Interactions] |
| |- | | |- |
− | |align="center"|2012-63 | + | |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] | | |[http://www.sciencemag.org/content/336/6086/1268.full (AR Cho,JH Ju)Interactions Between the Microbiota and the Immune System] |
− | |-
| |
− | | align="center"|2012-62
| |
− | |[http://stm.sciencemag.org/content/4/137/137rv7.short (AR Cho,JH Ju)Microbiota, Disease, and Back to Health: A Metastable Journey]
| |
| |- | | |- |
| |align="center"|2012-61 | | |align="center"|2012-61 |
Date
|
Paper_index
|
Paper_title
|
2012/07/02
~2012/07/19
|
2012-73
|
(HJ Han & YH Ko) Predictive regulatory models in Drosophila melanogaster by integrative inference of transcriptional networks
|
2012-72
|
(JE Shim) An Abundance of Rare Functional Variants in 202 Drug Target Genes Sequenced in 14,002 People
|
2012-71
|
(JE Shim) Evolution and Functional Impact of Rare Coding Variation from Deep Sequencing of Human Exomes
|
2012-70
|
(SH Hwang) Network-based classification of breast cancer metastasis
|
2012-69
|
(ER Kim&TH Kim)The Genome Analysis Toolkit: A MapReduce framework for analyzing next-generation DNA sequencing data
|
2012-68
|
(ER Kim&TH Kim)A framework for variation discovery and genotyping using next-generation DNA sequencing data
|
2012-67
|
(ER Kim&TH Kim)The Sequence Alignment/Map format and SAMtools
|
2012-66
|
(ER Kim&TH Kim)The Variant Call Format and VCFtools
|
2012-65
|
(YH Go&HS Han)The Impact of the Gut Microbiota on Human Health: An Integrative View
|
2012-64
|
(T Lee&CY Kim)Host-Gut Microbiota Metabolic Interactions
|
2012-63
|
(T Lee&CY Kim)Therapeutic Modulation of Microbiota-Host 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
|
2012-59
|
(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
|
2012-56
|
(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
|
2012-52
|
(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
|
2012-46
|
(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
|
2012-40
|
(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
|
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
|
2010/12/27
|
2010-29
|
Functional_roles_fornoise_in_genetic_circuits
|
2010-28
|
Estimation_of_effect_size_distribution_from_genome-wide_association_studies_and_implications_for_future_discoveries
|
2010/11/15
|
2010-27
|
Liver_and_Adipose_Expression_associated_SNPs_are_enriched_for_association_to_type_2_diabetes
|
2010-26
|
It's_the_machine_that_matters:_predicting_gene_function_and_phenotype_from_protein_networks
|
2010/11/01
|
2010-25
|
A_genome-wide_map_of_human_genetic_interactions_inferred_from_radiation_hybrid_genotypes
|
2010-24
|
A_Genome-Wide_Gene_Function_Prediction_Resource_for_Drosophila_melanogaster
|
2010/10/11
|
2010-23
|
Dissecting_spatio-temporal_protein_networks_driving_human_heart_development_and_related_disorders
|
2010/09/13
|
2010-22
|
Transposable_elements_have_rewired_the_core_regulatory_network_of_human_embryonic_stem_cells
|
2010-21
|
Limits_of_sequence_and_functional_conservation
|
2010/05/26
|
2010-20
|
network_based_elucidation_of_human_disease_similarities_reveals_common_functional_modules_enriched_for_pluripotent_drug_targets.pdf
|
2010/05/19
|
2010-19
|
interpreting_metabolomic_profiles_using_unbiased_pathway_models.pdf
|
2010/04/21
|
2010-18
|
identification_of_networks_of_co_occurring_tumor_related_dna_copy_number_changes_using_a_genome_wide_scoringapproach.pdf
|
2010/04/14
|
2010-17
|
an_atlas_of_combinatorial_transcriptional_regulation_in_mouse_and_man
|
2010/04/07
|
2010-16
|
systematic_discovery_of_nonobvious_human_disease_models_through_orthologous_phenotypes
|
2010-15
|
genome_side_association_study_of_107_phenotypes_in_Arabidopsis_thaliana_inbred_lines
|
2010/03/31
|
2010-14
|
toward_stem_cell_systems_biology_from_molecules_to_networks_and_landscapes.pdf
|
2010-13
|
systems_biology_of_stem_cell_fate_and_cellular_reprogramming
|
2010/03/24
|
2010-12
|
dynamic_modularity_in_protein_interaction_networks_predicts_breast_cancer_outcome
|
2010/01/18
|
2010-11
|
JournalClub_100118_a_tutorial_on_statistical_methods_for_population_association_studies
|
2010/01/16
|
2010-10
|
systems-level_dinamic_analyses_of_fate_change_in_murine_embryonic_stem_cells
|
2010/01/15
|
2010-09
|
distinguishing_direct_versus_indirect_transcription_factor-DNA-interactions
|
2010/01/14
|
2010-08
|
chemogenomic_profiling_predicts_antifungal_synergies
|
2010/01/13
|
2010-07
|
edgetic_perturbation_models_of_human_inherited_disorders
|
2010/01/12
|
2010-06
|
analysis_of_cell_fate_from_single-cell_gene_expression_profiles_in_C.elegans
|
2010/01/11
|
2010-05
|
predicting_new_molecular_targets_for_known_drugs.pdf
Reference:SEA(Similarity Ensemble Approach)
|
2010/01/09
|
2010-04
|
harnessing_gene_expression_to_identify_the_genetic_basis_of_drug_resistance
|
2010/01/08
|
2010-03
|
an_integrative_approach_to_reveal_driver_gene_fusions_from_paired_end_sequencing_data_in_cancer
|
2010/01/07
|
2010-02
|
a_phenotypic_profile_of_the_candida_albicans_regulatory_network
|
2010/01/06
|
2010-01
|
a_global_view_of_protein_expression_in_human_cells_tissues_and_organs
|