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dc.contributor.authorStephenson, M.
dc.contributor.authorNip, K.M.
dc.contributor.authorHafezqorani, S.
dc.contributor.authorGagalova, Kristina
dc.contributor.authorYang, C.
dc.contributor.authorWarren, R.L.
dc.contributor.authorBirol, I.
dc.date.accessioned2025-01-15T04:22:21Z
dc.date.available2025-01-15T04:22:21Z
dc.date.issued2021
dc.identifier.citationStephenson, M. and Nip, K.M. and Hafezqorani, S. and Gagalova, K.K. and Yang, C. and Warren, R.L. and Birol, I. 2021. RNA-Scoop: Interactive visualization of transcripts in single-cell transcriptomes. NAR Genomics and Bioinformatics. 3 (4): pp. lqab105-.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/96870
dc.identifier.doi10.1093/nargab/lqab105
dc.description.abstract

Recent advances in single-cell RNA sequencing technologies have made detection of transcripts in single cells possible. The level of resolution provided by these technologies can be used to study changes in transcript usage across cell populations and help investigate new biology. Here, we introduce RNA-Scoop, an interactive cell cluster and transcriptome visualization tool to analyze transcript usage across cell categories and clusters. The tool allows users to examine differential transcript expression across clusters and investigate how usage of specific transcript expression mechanisms varies across cell groups.

dc.languageeng
dc.titleRNA-Scoop: Interactive visualization of transcripts in single-cell transcriptomes
dc.typeJournal Article
dcterms.source.volume3
dcterms.source.number4
dcterms.source.startPagelqab105
dcterms.source.issn2631-9268
dcterms.source.titleNAR Genomics and Bioinformatics
dc.date.updated2025-01-15T04:22:20Z
curtin.departmentSchool of Molecular and Life Sciences (MLS)
curtin.accessStatusIn process
curtin.facultyFaculty of Science and Engineering
curtin.contributor.orcidGagalova, Kristina [0000-0002-5975-0805]
dcterms.source.eissn2631-9268
curtin.contributor.scopusauthoridGagalova, Kristina [55969284500]
curtin.repositoryagreementV3


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