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Sashimi plots: Quantitative visualization of RNA sequencing read alignments

Authors :
Katz, Yarden
Wang, Eric T.
Silterra, Jacob
Schwartz, Schraga
Wong, Bang
Mesirov, Jill P.
Airoldi, Edoardo M.
Burge, Christopher B.
Publication Year :
2013

Abstract

We introduce Sashimi plots, a quantitative multi-sample visualization of mRNA sequencing reads aligned to gene annotations. Sashimi plots are made using alignments (stored in the SAM/BAM format) and gene model annotations (in GFF format), which can be custom-made by the user or obtained from databases such as Ensembl or UCSC. We describe two implementations of Sashimi plots: (1) a stand-alone command line implementation aimed at making customizable publication quality figures, and (2) an implementation built into the Integrated Genome Viewer (IGV) browser, which enables rapid and dynamic creation of Sashimi plots for any genomic region of interest, suitable for exploratory analysis of alternatively spliced regions of the transcriptome. Isoform expression estimates outputted by the MISO program can be optionally plotted along with Sashimi plots. Sashimi plots can be used to quickly screen differentially spliced exons along genomic regions of interest and can be used in publication quality figures. The Sashimi plot software and documentation is available from: http://genes.mit.edu/burgelab/miso/docs/sashimi.html<br />Comment: 2 figures

Subjects

Subjects :
Quantitative Biology - Genomics

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.1306.3466
Document Type :
Working Paper
Full Text :
https://doi.org/10.1093/bioinformatics/btv034