grant
Advanced quantitative analyses of long-read RNA-seq at the bulk and single-cell dimensions
Organization UNIVERSITY OF MICHIGAN AT ANN ARBORLocation ANN ARBOR, UNITED STATESPosted 1 Jun 2025Deadline 31 May 2030
NIHUS FederalResearch GrantFY2025AllelesAllelomorphsAlternate SplicingAlternative RNA SplicingAlternative SplicingBenchmarkingBest Practice AnalysisBioinformaticsCancersCell BodyCellsCommunitiesComplexComputer softwareDataData AnalysesData AnalysisData CollectionData ScienceDevelopmentEmbryo DevelopmentEmbryogenesisEmbryonic DevelopmentEuropeFoundationsFundingGenesGoalsGuidelinesIsoformsMalignant NeoplasmsMalignant TumorMasksMethodologyMethodsNeurosciencesPaperPrevalenceProgenitor CellsProtein IsoformsPublishingRNA SeqRNA sequencingRNAseqRoleSoftwareStructureTechniquesassess effectivenessbenchmarkcell dimensioncell typecomparativedata interpretationdetermine effectivenessdevelopmentaldifferential expressiondifferentially expressedeffectiveness assessmenteffectiveness evaluationevaluate effectivenessexamine effectivenessgenome annotationglobal gene expressionglobal transcription profileimprovedinnovateinnovationinnovativeinsightlong read seqlong-read sequencinglong-read transcript sequencingmalignancyneoplasm/cancernovelpublic health relevancescRNA sequencingscRNA-seqsingle cell RNA-seqsingle cell RNAseqsingle cell analysissingle cell expression profilingsingle cell transcriptomic profilingsingle-cell RNA sequencingsocial rolestem cellstranscriptional differencestranscriptometranscriptome sequencingtranscriptomic sequencingtranscriptomics
Description preview
Abstract
Long-read sequencing has been demonstrated powerful for investigating gene isoforms, which could have
critical biomedical roles, such as in embryogenesis, neuroscience and cancer. In the past decade, the Au lab
has been at the forefront of developing novel bioinformatics software for identifying complex gene isoforms in
different…
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