BigBWA: Approaching the Burrows-Wheeler Aligner to Big Data Technologies

TítuloBigBWA: Approaching the Burrows-Wheeler Aligner to Big Data Technologies
AutoresJosé M. Abuín, Juan C. Pichel, Tomás F. Pena and Jorge Amigo
TipoArtículo de revista
Fonte Bioinformatics, Oxford University Press, Vol. 31, No. 24, pp. 4003-4005 , 2015.
RankRanked Q1 in Molecular Biology by SJR
ISSN1367-4803
DOI10.1093/bioinformatics/btv506
AbstractBigBWA 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.
Palabras chaveBig Data, Hadoop, Genomics, HPC, Clusters