Unknown

Dataset Information

Splicing Express: a software suite for alternative splicing analysis using next-generation sequencing data.


ABSTRACT: Motivation. Alternative splicing events (ASEs) are prevalent in the transcriptome of eukaryotic species and are known to influence many biological phenomena. The identification and quantification of these events are crucial for a better understanding of biological processes. Next-generation DNA sequencing technologies have allowed deep characterization of transcriptomes and made it possible to address these issues. ASEs analysis, however, represents a challenging task especially when many different samples need to be compared. Some popular tools for the analysis of ASEs are known to report thousands of events without annotations and/or graphical representations. A new tool for the identification and visualization of ASEs is here described, which can be used by biologists without a solid bi

SUBMITTER: Kroll JE 

PROVIDER: S-EPMC4655094 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature