Abstract
SUMMARY: Alternative splicing is an important mechanism involved in both health and disease. Recent work highlights the importance of investigating genome-wide changes in patters of splicing and the subsequent functional consequences. Current computational methods only support such analysis on a gene-by-gene basis. Therefore, we extended IsoformSwitchAnalyzeR R library to enable analysis of genome-wide changes in specific types of alternative splicing and predicted functional consequences of the resulting isoform switches. As a case study, we analyzed RNA-seq data from The Cancer Genome Atlas and found systematic changes in alternative splicing and the consequences of the associated isoform switches.
AVAILABILITY: Windows, Linux and Mac OS: http://bioconductor.org/packages/IsoformSwitchAnalyzeR.
SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
| Originalsprog | Engelsk |
|---|---|
| Tidsskrift | Bioinformatics |
| Vol/bind | 35 |
| Udgave nummer | 21 |
| Sider (fra-til) | 4469-4471 |
| ISSN | 1367-4803 |
| DOI | |
| Status | Udgivet - 2019 |