SkewC: Identifying cells with skewed gene body coverage in single-cell RNA sequencing data

SkewC: Identifying cells with skewed gene body coverage in single-cell RNA sequencing data

Summary: The analysis and interpretation of single-cell RNA sequencing (scRNA-seq) experiments are compromised by the presence of poor-quality cells. For meaningful analyses, such poor-quality cells should be excluded as they introduce noise in the data. We introduce SkewC, a quality-assessment tool...

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Bibliographic Details
Main Authors: Imad Abugessaisa, Akira Hasegawa, Shuhei Noguchi, Melissa Cardon, Kazuhide Watanabe, Masataka Takahashi, Harukazu Suzuki, Shintaro Katayama, Juha Kere, Takeya Kasukawa
Format: Article
Language:English
Published: Elsevier 2022-02-01
Series:iScience
Subjects:
Biological sciences
Cell biology
Biocomputational method
Biological sciences research methodologies
Online Access:http://www.sciencedirect.com/science/article/pii/S2589004222000475

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http://www.sciencedirect.com/science/article/pii/S2589004222000475

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