2023
The EN-TEx resource of multi-tissue personal epigenomes & variant-impact models
Rozowsky J, Gao J, Borsari B, Yang Y, Galeev T, Gürsoy G, Epstein C, Xiong K, Xu J, Li T, Liu J, Yu K, Berthel A, Chen Z, Navarro F, Sun M, Wright J, Chang J, Cameron C, Shoresh N, Gaskell E, Drenkow J, Adrian J, Aganezov S, Aguet F, Balderrama-Gutierrez G, Banskota S, Corona G, Chee S, Chhetri S, Cortez Martins G, Danyko C, Davis C, Farid D, Farrell N, Gabdank I, Gofin Y, Gorkin D, Gu M, Hecht V, Hitz B, Issner R, Jiang Y, Kirsche M, Kong X, Lam B, Li S, Li B, Li X, Lin K, Luo R, Mackiewicz M, Meng R, Moore J, Mudge J, Nelson N, Nusbaum C, Popov I, Pratt H, Qiu Y, Ramakrishnan S, Raymond J, Salichos L, Scavelli A, Schreiber J, Sedlazeck F, See L, Sherman R, Shi X, Shi M, Sloan C, Strattan J, Tan Z, Tanaka F, Vlasova A, Wang J, Werner J, Williams B, Xu M, Yan C, Yu L, Zaleski C, Zhang J, Ardlie K, Cherry J, Mendenhall E, Noble W, Weng Z, Levine M, Dobin A, Wold B, Mortazavi A, Ren B, Gillis J, Myers R, Snyder M, Choudhary J, Milosavljevic A, Schatz M, Bernstein B, Guigó R, Gingeras T, Gerstein M. The EN-TEx resource of multi-tissue personal epigenomes & variant-impact models. Cell 2023, 186: 1493-1511.e40. PMID: 37001506, PMCID: PMC10074325, DOI: 10.1016/j.cell.2023.02.018.Peer-Reviewed Original Research
2020
Expanded encyclopaedias of DNA elements in the human and mouse genomes
Moore J, Purcaro M, Pratt H, Epstein C, Shoresh N, Adrian J, Kawli T, Davis C, Dobin A, Kaul R, Halow J, Van Nostrand E, Freese P, Gorkin D, Shen Y, He Y, Mackiewicz M, Pauli-Behn F, Williams B, Mortazavi A, Keller C, Zhang X, Elhajjajy S, Huey J, Dickel D, Snetkova V, Wei X, Wang X, Rivera-Mulia J, Rozowsky J, Zhang J, Chhetri S, Zhang J, Victorsen A, White K, Visel A, Yeo G, Burge C, Lécuyer E, Gilbert D, Dekker J, Rinn J, Mendenhall E, Ecker J, Kellis M, Klein R, Noble W, Kundaje A, Guigó R, Farnham P, Cherry J, Myers R, Ren B, Graveley B, Gerstein M, Pennacchio L, Snyder M, Bernstein B, Wold B, Hardison R, Gingeras T, Stamatoyannopoulos J, Weng Z. Expanded encyclopaedias of DNA elements in the human and mouse genomes. Nature 2020, 583: 699-710. PMID: 32728249, PMCID: PMC7410828, DOI: 10.1038/s41586-020-2493-4.Peer-Reviewed Original ResearchMeSH KeywordsAnimalsChromatinDatabases, GeneticDeoxyribonuclease IDNADNA FootprintingDNA MethylationDNA Replication TimingGenomeGenome, HumanGenomicsHistonesHumansMiceMice, TransgenicMolecular Sequence AnnotationRegistriesRegulatory Sequences, Nucleic AcidRNA-Binding ProteinsTranscription, GeneticTransposasesConceptsMouse genomeCandidate cis-regulatory elementsCis-regulatory elementsDNA Elements (ENCODE) projectMouse fetal developmentChromatin structureGene regulationRespective genomesCellular contextDNA elementsDNA methylationENCODE dataTranscription factorsRNA transcriptionWeb-based serverGenomeExpansive resourceRNAEncyclopediaProteinFetal developmentChromatinTranscriptionHumansMethylationLogoJS: a Javascript package for creating sequence logos and embedding them in web applications
Pratt H, Weng Z. LogoJS: a Javascript package for creating sequence logos and embedding them in web applications. Bioinformatics 2020, 36: 3573-3575. PMID: 32181813, PMCID: PMC7267833, DOI: 10.1093/bioinformatics/btaa192.Peer-Reviewed Original ResearchConceptsWeb applicationJavaScript packagesSequence logosUser interface frameworkWeb-based visualization toolHuman-readable formatModern web technologiesUser interfaceWeb technologiesNeural networkOperating systemOpen-sourceVisualization toolsJavaScriptWeighted outputCompanion web applicationComputational techniquesWebConsensus sequenceGenomic dataSupplementary dataInteractive figuresMultiple lettersSequenceReactJSA curated benchmark of enhancer-gene interactions for evaluating enhancer-target gene prediction methods
Moore J, Pratt H, Purcaro M, Weng Z. A curated benchmark of enhancer-gene interactions for evaluating enhancer-target gene prediction methods. Genome Biology 2020, 21: 17. PMID: 31969180, PMCID: PMC6977301, DOI: 10.1186/s13059-019-1924-8.Peer-Reviewed Original ResearchConceptsEnhancer-gene interactionsTarget genesGene prediction methodsGenome-wide collectionCis-regulatory elementsCell typesEpigenomic dataDevelopment of computational methodsPredicted target genesGenomic interactionsPublished computational methodsTargetFinderComputational methodsGenesConclusionsOur resultsCCREsDistance methodCellsResultsToInteractionConclusionsOurTypePEPPrediction method
2013
Genome-wide Analysis of Immune System Genes by Expressed Sequence Tag Profiling
Giallourakis C, Benita Y, Molinie B, Cao Z, Despo O, Pratt H, Zukerberg L, Daly M, Rioux J, Xavier R. Genome-wide Analysis of Immune System Genes by Expressed Sequence Tag Profiling. The Journal Of Immunology 2013, 190: 5578-5587. PMID: 23616578, PMCID: PMC3703829, DOI: 10.4049/jimmunol.1203471.Peer-Reviewed Original ResearchMeSH KeywordsAnimalsCluster AnalysisComputational BiologyDatabases, Nucleic AcidDNA-Binding ProteinsExpressed Sequence TagsGene Expression ProfilingGene Regulatory NetworksGenome-Wide Association StudyGenomicsHumansImmune SystemImmune System DiseasesLymphoma, B-CellMiceMolecular Sequence AnnotationReproducibility of ResultsRNA, Long NoncodingTranscription FactorsTranscriptomeConceptsExpressed sequence tagsExpressed sequence tag profilingEncyclopedia of DNA ElementsHuman expressed sequence tagsGenome-wide analysisIdentification of transcriptsMicroarray-based studiesImmune system genesRNA sequencing analysisStudies of mRNADNA elementsSequence tagsNovel genesMetabolic gene signatureNoncoding genesSequence analysisTranscriptome analysisImmune systemMicroarray studiesOverexpressed genesSystem genesGene expressionGenesFunctional studiesNoncoding RNAs