SplAdder: identification, quantification and testing of alternative splicing events from RNA-Seq data
Author(s) -
André Kahles,
Cheng Soon Ong,
義夫 田中,
Gunnar Rätsch
Publication year - 2016
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btw076
Subject(s) - annotation , rna seq , computational biology , identification (biology) , computer science , alternative splicing , rna splicing , documentation , source code , context (archaeology) , transcriptome , biology , rna , genetics , gene , artificial intelligence , gene expression , messenger rna , paleontology , botany , programming language , operating system
Understanding the occurrence and regulation of alternative splicing (AS) is a key task towards explaining the regulatory processes that shape the complex transcriptomes of higher eukaryotes. With the advent of high-throughput sequencing of RNA (RNA-Seq), the diversity of AS transcripts could be measured at an unprecedented depth. Although the catalog of known AS events has grown ever since, novel transcripts are commonly observed when working with less well annotated organisms, in the context of disease, or within large populations. Whereas an identification of complete transcripts is technically challenging and computationally expensive, focusing on single splicing events as a proxy for transcriptome characteristics is fruitful and sufficient for a wide range of analyses.
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