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Quantitative visualization of alternative exon expression from RNA-seq data
Katz, Y Wang, ET Silterra, J Schwartz, S Wong, B Thorvaldsdóttir, H Robinson, JT Mesirov, JP Airoldi, EM Burge, CB
Katz, Y
Wang, ET
Silterra, J
Schwartz, S
Wong, B
Thorvaldsdóttir, H
Robinson, JT
Mesirov, JP
Airoldi, EM
Burge, CB
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Journal Article
Date
2015-07-15
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10.1093/bioinformatics/btv034
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© The Author 2015. Published by Oxford University Press. All rights reserved. Motivation: Analysis of RNA sequencing (RNA-Seq) data revealed that the vast majority of human genes express multiple mRNA isoforms, produced by alternative pre-mRNA splicing and other mechanisms, and that most alternative isoforms vary in expression between human tissues. As RNA-Seq datasets grow in size, it remains challenging to visualize isoform expression across multiple samples. Results: To help address this problem, we present Sashimi plots, a quantitative visualization of aligned RNA-Seq reads that enables quantitative comparison of exon usage across samples or experimental conditions. Sashimi plots can be made using the Broad Integrated Genome Viewer or with a stand-alone command line program.
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Oxford University Press (OUP)
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Bioinformatics
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