Single-cell alternative splicing analysis reveals dominance of single transcript variant.

Liu, Wendao; Zhang, Xuegong

Liu, Wendao; Zhang, Xuegong.

Affiliation

Liu W; MOE Key Laboratory of Bioinformatics, Bioinformatics Division, BNRIST, Beijing 100084, China; School of Life Sciences, Center for Synthetic & System Biology, Tsinghua University, Beijing 100084, China. Electronic address: liuwd15@tsinghua.org.cn.
Zhang X; MOE Key Laboratory of Bioinformatics, Bioinformatics Division, BNRIST, Beijing 100084, China; School of Life Sciences, Center for Synthetic & System Biology, Tsinghua University, Beijing 100084, China; Department of Automation, Tsinghua University, Beijing 100084, China. Electronic address: zhangxg@tsinghua.edu.cn.

Genomics ; 112(3): 2418-2425, 2020 05.

Article in En | MEDLINE | ID: mdl-31981701

Subject(s)

Alternative Splicing; RNA Isoforms/metabolism; Animals; Gene Expression; Gene Expression Profiling; Hematopoietic Stem Cells/metabolism; Humans; Mice; Sequence Analysis, RNA; Single-Cell Analysis

Key words

Alternative splicing; RNA-seq; Single cell analysis; Transcript variant expression

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Alternative Splicing / RNA Isoforms Limits: Animals / Humans Language: En Journal: Genomics Journal subject: GENETICA Year: 2020 Type: Article

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