BigBWA: approaching the Burrows-Wheeler aligner to Big Data technologies

José M Abuín; Juan C Pichel; Tomás F Pena; Jorge Amigo

doi:10.1093/bioinformatics/btv506

BigBWA: approaching the Burrows-Wheeler aligner to Big Data technologies

Bioinformatics. 2015 Dec 15;31(24):4003-5. doi: 10.1093/bioinformatics/btv506. Epub 2015 Aug 30.

Authors

José M Abuín¹, Juan C Pichel¹, Tomás F Pena¹, Jorge Amigo²

Affiliations

¹ CITIUS, Universidade de Santiago de Compostela, Spain and.
² Genomics Medicine Group (GMX), Universidade de Santiago de Compostela, Spain.

PMID: 26323715
DOI: 10.1093/bioinformatics/btv506

Abstract

BigBWA is a new tool that uses the Big Data technology Hadoop to boost the performance of the Burrows-Wheeler aligner (BWA). Important reductions in the execution times were observed when using this tool. In addition, BigBWA is fault tolerant and it does not require any modification of the original BWA source code.

Availability and implementation: BigBWA is available at the project GitHub repository: https://github.com/citiususc/BigBWA.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Algorithms
Genomics
Sequence Alignment / methods*
Software*