HPexome: An automated tool for processing whole-exome sequencing data

被引:0
|
作者
Cendes, Lucas L. [1 ,4 ,5 ]
de Souza, Welliton [2 ,4 ]
Lopes-Cendes, Iscia [2 ,4 ]
Carvalho, Benilton S. [3 ,4 ]
机构
[1] Amer Sch Campinas, Campinas, SP, Brazil
[2] Univ Campinas UNICAMP, Sch Med Sci, Dept Med Genet & Genom Med, Campinas, SP, Brazil
[3] Univ Campinas UNICAMP, Inst Math Stat & Sci Comp, Dept Stat, Campinas, SP, Brazil
[4] Univ Campinas UNICAMP, Brazilian Inst Neurosci & Neurotechnol BRAINN, Campinas, SP, Brazil
[5] Univ Washington, Paul G Allen Sch Comp Sci & Engn, Seattle, WA 98195 USA
基金
巴西圣保罗研究基金会; 英国生物技术与生命科学研究理事会;
关键词
Bioinformatics; Scientific workflows; High-performance computing; FRAMEWORK;
D O I
10.1016/j.softx.2020.100478
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
Whole-exome sequencing has been widely used in clinical applications for the identification of the genetic causes of several diseases. HPexome is a command-line tool that automates many data processing tasks for exome-sequencing data analysis of large-scale cohorts. Given ready-analysis alignment files, HPexome breaks input data into smaller pieces defined by genomic regions and efficiently processes them in parallel using cluster-computing environments. It relies on the Queue workflow execution engine, GATK variant calling tool, and its best practices to output a high-confident multi-sample genomics variant file. (c) 2020 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
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页数:4
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