| Literature DB >> 22592379 |
Jun Hu1, Huanying Ge, Matt Newman, Kejun Liu.
Abstract
UNLABELLED: Accurately mapping RNA-Seq reads to the reference genome is a critical step for performing downstream analysis such as transcript assembly, isoform detection and quantification. Many tools have been developed; however, given the huge size of the next generation sequencing datasets and the complexity of the transcriptome, RNA-Seq read mapping remains a challenge with the ever-increasing amount of data. We develop Omicsoft sequence aligner (OSA), a fast and accurate alignment tool for RNA-Seq data. Benchmarked with existing methods, OSA improves mapping speed 4-10-fold with better sensitivity and less false positives. AVAILABILITY: OSA can be downloaded from http://omicsoft.com/osa. It is free to academic users. OSA has been tested extensively on Linux, Mac OS X and Windows platforms.Mesh:
Substances:
Year: 2012 PMID: 22592379 DOI: 10.1093/bioinformatics/bts294
Source DB: PubMed Journal: Bioinformatics ISSN: 1367-4803 Impact factor: 6.937