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

被引：116

作者：

Abuin, Jose M. ^{[1
]}

Pichel, Juan C. ^{[1
]}

Pena, Tomas F. ^{[1
]}

Amigo, Jorge ^{[2
]}

机构：

[1] Univ Santiago de Compostela, CITIUS, Santiago De Compostela, Spain

[2] Univ Santiago de Compostela, Genom Med Grp GMX, Santiago De Compostela, Spain

来源：

BIOINFORMATICS | 2015年 / 31卷 / 24期

关键词：

READ ALIGNMENT;

D O I：

10.1093/bioinformatics/btv506

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

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.

引用

页码：4003 / 4005

页数：3

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