BigBWA：使Burrows-Wheeler比对器向大数据技术靠拢
BigBWA: approaching the Burrows-Wheeler aligner to Big Data technologies.
作者信息
Abuín José M, Pichel Juan C, Pena Tomás F, Amigo Jorge
机构信息
CITIUS, Universidade de Santiago de Compostela, Spain and.
Genomics Medicine Group (GMX), Universidade de Santiago de Compostela, Spain.
出版信息
Bioinformatics. 2015 Dec 15;31(24):4003-5. doi: 10.1093/bioinformatics/btv506. Epub 2015 Aug 30.
UNLABELLED
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.
未标记
BigBWA是一种使用大数据技术Hadoop来提高Burrows-Wheeler比对器（BWA）性能的新工具。使用该工具时，执行时间有显著减少。此外，BigBWA具有容错能力，并且无需对原始BWA源代码进行任何修改。
可用性与实现
BigBWA可在项目的GitHub仓库获取：https://github.com/citiususc/BigBWA 。
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