Millefy: visualizing cell-to-cell heterogeneity in read coverage of single-cell RNA sequencing datasets

Millefy: visualizing cell-to-cell heterogeneity in read coverage of single-cell RNA sequencing datasets

Abstract Background Read coverage of RNA sequencing data reflects gene expression and RNA processing events. Single-cell RNA sequencing (scRNA-seq) methods, particularly “full-length” ones, provide read coverage of many individual cells and have the potential to reveal cellular heterogeneity in RNA...

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Bibliographic Details
Main Authors: Haruka Ozaki, Tetsutaro Hayashi, Mana Umeda, Itoshi Nikaido
Format: Article
Language:English
Published: BMC 2020-03-01
Series:BMC Genomics
Subjects:
Single-cell RNA sequencing
Visualization
Read coverage
Online Access:http://link.springer.com/article/10.1186/s12864-020-6542-z

Internet

http://link.springer.com/article/10.1186/s12864-020-6542-z

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