期刊
BIOINFORMATICS
卷 28, 期 6, 页码 876-877出版社
OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/bts054
关键词
-
类别
资金
- Finnish Funding Agency for Technology and Innovation Tekes
- Academy of Finland [139402]
- Academy of Finland (AKA) [139402, 139402] Funding Source: Academy of Finland (AKA)
Hadoop-BAM is a novel library for the scalable manipulation of aligned next-generation sequencing data in the Hadoop distributed computing framework. It acts as an integration layer between analysis applications and BAM files that are processed using Hadoop. Hadoop-BAM solves the issues related to BAM data access by presenting a convenient API for implementing map and reduce functions that can directly operate on BAM records. It builds on top of the Picard SAM JDK, so tools that rely on the Picard API are expected to be easily convertible to support large-scale distributed processing. In this article we demonstrate the use of Hadoop-BAM by building a coverage summarizing tool for the Chipster genome browser. Our results show that Hadoop offers good scalability, and one should avoid moving data in and out of Hadoop between analysis steps.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据