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

Bioinformatics
José M AbuínJorge Amigo

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

References

May 20, 2009·Bioinformatics·Heng Li, Richard Durbin
Jan 19, 2010·Bioinformatics·Heng Li, Richard Durbin
Oct 29, 2010·Nature·Gonçalo R AbecasisGil A McVean
Jun 24, 2011·Bioinformatics·Luca PiredduGianluigi Zanetti
Aug 8, 2012·IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society·Lin LiJosé C Príncipe

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Citations

Feb 18, 2017·International Journal of Molecular Sciences·Karen Y HeMax M He
May 29, 2019·PLoS Computational Biology·Le ZhangZhenglin Du
Apr 16, 2015·Genome Medicine·Janice M SpenceW Richard Burack
May 28, 2015·Genome Medicine·Song Ling PoonSteven G Rozen
Dec 11, 2019·Genes·Lizhen Shi, Zhong Wang
Oct 7, 2020·PloS One·José M AbuínBertil Schmidt

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