2021
Gene Tracer: a smart, interactive, voice-controlled Alexa skill For gene information retrieval and browsing, mutation annotation and network visualization
Lou S, Li T, Liu J, Gerstein M. Gene Tracer: a smart, interactive, voice-controlled Alexa skill For gene information retrieval and browsing, mutation annotation and network visualization. Bioinformatics 2021, 37: 2998-3000. PMID: 33792640, PMCID: PMC8479666, DOI: 10.1093/bioinformatics/btab107.Peer-Reviewed Original ResearchConceptsAlexa skillAmazon Alexa skillInformation retrievalMutation annotationsVoice recognitionInteractive inputVisualization experienceDemonstration videoNetwork visualizationSupplementary dataGenome browserUsersMore flexibilityGene informationInformationQueriesBrowserBrowsingVideoKeyboardTechnological advancesRetrievalAnnotationNetworkBioinformatics
2020
NIMBus: a negative binomial regression based Integrative Method for mutation Burden Analysis
Zhang J, Liu J, McGillivray P, Yi C, Lochovsky L, Lee D, Gerstein M. NIMBus: a negative binomial regression based Integrative Method for mutation Burden Analysis. BMC Bioinformatics 2020, 21: 474. PMID: 33092526, PMCID: PMC7580035, DOI: 10.1186/s12859-020-03758-1.Peer-Reviewed Original ResearchConceptsDNase I hypersensitive sitesMutation rate heterogeneityDNA elementsCancer whole genome sequencesMutational hotspotsMutation burden analysisFunctional genomics dataNon-coding regionsGene regulatory networksWhole Genomes (PCAWG) projectWhole genome sequencesBackground mutation rateBurden analysisChromatin organizationReplication timingGenome sequenceRegulatory networksTranscription factorsHypersensitive sitesGenomic featuresRate heterogeneityGenome ProjectGenomic dataIntegrative methodGamma-Poisson mixture modelAn integrative ENCODE resource for cancer genomics
Zhang J, Lee D, Dhiman V, Jiang P, Xu J, McGillivray P, Yang H, Liu J, Meyerson W, Clarke D, Gu M, Li S, Lou S, Xu J, Lochovsky L, Ung M, Ma L, Yu S, Cao Q, Harmanci A, Yan KK, Sethi A, Gürsoy G, Schoenberg MR, Rozowsky J, Warrell J, Emani P, Yang YT, Galeev T, Kong X, Liu S, Li X, Krishnan J, Feng Y, Rivera-Mulia JC, Adrian J, Broach JR, Bolt M, Moran J, Fitzgerald D, Dileep V, Liu T, Mei S, Sasaki T, Trevilla-Garcia C, Wang S, Wang Y, Zang C, Wang D, Klein RJ, Snyder M, Gilbert DM, Yip K, Cheng C, Yue F, Liu XS, White KP, Gerstein M. An integrative ENCODE resource for cancer genomics. Nature Communications 2020, 11: 3696. PMID: 32728046, PMCID: PMC7391744, DOI: 10.1038/s41467-020-14743-w.Peer-Reviewed Original ResearchConceptsCell typesFunctional genomics datasetsEffect of MycStem-like stateNetwork-based annotationUncharacterized RBPsOncogenic TFSTARR-seqOncogene knockdownTranscription factorsGenomic datasetsOncogenic transformationGenome interpretationUniversal annotationCancer genomicsDifferential expressionSiRNA knockdownLuciferase assayTargeted validationRegulatorTumor transitionCustom annotationsAnnotationKnockdownCoherent workflow