2019
VCF‐Server: A web‐based visualization tool for high‐throughput variant data mining and management
Jiang J, Gu J, Zhao T, Lu H. VCF‐Server: A web‐based visualization tool for high‐throughput variant data mining and management. Molecular Genetics & Genomic Medicine 2019, 7: e00641. PMID: 31127704, PMCID: PMC6625089, DOI: 10.1002/mgg3.641.Peer-Reviewed Original ResearchMeSH KeywordsData MiningDatabases, GeneticGenetic VariationHigh-Throughput Nucleotide SequencingHumansInternetSequence Analysis, DNAUser-Computer InterfaceConceptsWeb-based visualization toolGraphical interfaceCentralized wayVisualization toolsVCF filesVariant call format filesInteractive graphical interfaceUse graphical interfaceLittle bioinformatics backgroundVariant dataData miningWeb-based analysisFile systemGenetic variant dataProgramming skillsFiltering rulesBioinformatics backgroundFormat fileLocal deploymentProgramming codeInteractive analysisUsersVariant informationFilesVariant annotation
2017
RNA‐seq Based Transcription Characterization of Fusion Breakpoints as a Potential Estimator for Its Oncogenic Potential
Gu J, Chukhman M, Lu Y, Liu C, Liu S, Lu H. RNA‐seq Based Transcription Characterization of Fusion Breakpoints as a Potential Estimator for Its Oncogenic Potential. BioMed Research International 2017, 2017: 9829175. PMID: 29181411, PMCID: PMC5664375, DOI: 10.1155/2017/9829175.Peer-Reviewed Original ResearchMeSH KeywordsCell Line, TumorEarly Growth Response Transcription FactorsHigh-Throughput Nucleotide SequencingHumansMaleMutationOncogene Proteins, FusionProstatic NeoplasmsSerine EndopeptidasesTranscriptomeConceptsOncogenic potentialFusion mutationsFusion geneHigh-throughput sequencing technologyClonal evolution theoryTranscriptome sequencing datasetsLarger clonal sizeSequencing technologiesSequencing datasetsGene fusionsClone ratioGenesFusion breakpointsGenomic alterationsMutationsFunctional featuresNeoplastic cellsTMPRSS2-ERGNormal samplesClonal sizeTumor samplesRecent studiesCellsEvolution theoryBreakpoints
2013
Deep mRNA Sequencing Analysis to Capture the Transcriptome Landscape of Zebrafish Embryos and Larvae
Yang H, Zhou Y, Gu J, Xie S, Xu Y, Zhu G, Wang L, Huang J, Ma H, Yao J. Deep mRNA Sequencing Analysis to Capture the Transcriptome Landscape of Zebrafish Embryos and Larvae. PLOS ONE 2013, 8: e64058. PMID: 23700457, PMCID: PMC3659048, DOI: 10.1371/journal.pone.0064058.Peer-Reviewed Original ResearchMeSH KeywordsAnimalsBlastulaCleavage Stage, OvumEmbryonic DevelopmentGastrulaGene Expression ProfilingGene Expression Regulation, DevelopmentalHigh-Throughput Nucleotide SequencingLarvaOligonucleotide Array Sequence AnalysisSequence Analysis, RNATranscription FactorsTranscriptomeWnt Signaling PathwayZebrafishZebrafish ProteinsConceptsTranscriptome dynamicsZebrafish embryonic developmentTranscription factor familyDistinct expression patternsRNA-seq dataGene expression profilesZygotic genomeZebrafish developmentDeep mRNATranscriptome landscapeAverage expression levelEarly gastrulationGene clusterZebrafish embryosEmbryonic developmentTranscriptomic researchFactor familyExpression patternsExpression profilesFunctional pathwaysMolecular eventsEmbryonic stagesGenesCellular mechanismsExpression levels