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

Abstract

Abstract Summary: 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 Contact: josemanuel.abuin@usc.es Supplementary information: Supplementary data are available at Bioinformatics online.