Format

Send to

Choose Destination
Bioinformatics. 2015 Dec 15;31(24):3906-13. doi: 10.1093/bioinformatics/btv505. Epub 2015 Aug 30.

RASER: reads aligner for SNPs and editing sites of RNA.

Author information

1
Department of Integrative Biology and Physiology and the Molecular Biology Institute, University of California Los Angeles, Los Angeles, CA 90095, USA.

Abstract

MOTIVATION:

Accurate identification of genetic variants such as single-nucleotide polymorphisms (SNPs) or RNA editing sites from RNA-Seq reads is important, yet challenging, because it necessitates a very low false-positive rate in read mapping. Although many read aligners are available, no single aligner was specifically developed or tested as an effective tool for SNP and RNA editing prediction.

RESULTS:

We present RASER, an accurate read aligner with novel mapping schemes and index tree structure that aims to reduce false-positive mappings due to existence of highly similar regions. We demonstrate that RASER shows the best mapping accuracy compared with other popular algorithms and highest sensitivity in identifying multiply mapped reads. As a result, RASER displays superb efficacy in unbiased mapping of the alternative alleles of SNPs and in identification of RNA editing sites.

AVAILABILITY AND IMPLEMENTATION:

RASER is written in C++ and freely available for download at https://github.com/jaegyoonahn/RASER.

PMID:
26323713
PMCID:
PMC4692970
DOI:
10.1093/bioinformatics/btv505
[Indexed for MEDLINE]
Free PMC Article

Supplemental Content

Full text links

Icon for Silverchair Information Systems Icon for PubMed Central
Loading ...
Support Center