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dc.contributor.authorJohnson, W. Evanen_US
dc.contributor.authorJenkins, Daviden_US
dc.contributor.authorKhan, Mohammed Muzamilen_US
dc.contributor.authorFaits, Tyleren_US
dc.contributor.authorZhang, Yuqingen_US
dc.contributor.authorMcFarlane, Adaen_US
dc.contributor.authorZhao, Yueen_US
dc.contributor.authorCampbell, Joshua D.en_US
dc.contributor.authorYajima, Masanaoen_US
dc.date.accessioned2019-12-09T13:13:56Z
dc.date.available2019-12-09T13:13:56Z
dc.date.issued2019-05
dc.identifier.urihttps://hdl.handle.net/2144/38691
dc.description.abstractI will present the Single Cell Toolkit (SCTK), an R package and interactive single cell RNA-sequencing (scRNA-Seq) analysis package that provides the first complete workflow for scRNA-Seq data analysis and visualization using a set of R functions and an interactive web interface. Users can perform analysis with modules for filtering raw results, clustering, batch correction, differential expression, pathway enrichment, and scRNA-Seq study design. The toolkit supports command line or pipeline data processing, and results can be loaded into the GUI for additional exploration and downstream analysis. We demonstrate the effectiveness of the SCTK on multiple scRNA-seq examples, including data from mucosal-associated invariant T cells, induced pluripotent stem cells, and breast cancer tumor cells. While other scRNA-Seq analysis tools exist, the SCTK is the first fully interactive analysis toolkit for scRNA-Seq data available within the R language.en_US
dc.description.sponsorshipNIH U01CA220413en_US
dc.language.isoen_US
dc.rightsAttribution 3.0 United Statesen_US
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/us/
dc.subjectSingle Cell RNA-sequencingen_US
dc.subjectR Shinyen_US
dc.subjectComputational biomedicineen_US
dc.titleInteractive single cell RNA-Seq analysis with Single Cell Toolkit (SCTK)en_US
dc.typePosteren_US


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Attribution 3.0 United States
Except where otherwise noted, this item's license is described as Attribution 3.0 United States