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

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

DOI:
10.1093/bioinformatics/btv506
复制
发表时间:
2015-12-15
期刊:
影响因子:
5.8
通讯作者:
Amigo, Jorge
Amigo, Jorge
中科院分区:
生物学3区
文献类型:
--
作者:
Abuin, Jose M.;Pichel, Juan C.;Amigo, Jorge

文献摘要

被引文献

相似文献

BigBWA是一个新的工具,它使用大数据技术Hadoop来提高Burrows-Wheeler对准器(BWA)的性能。使用此工具时,观察到执行时间大幅减少。此外,BigBWA是容错的,它不需要对原始BWA源代码进行任何修改。
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.