预处理器
计算机科学
灵活性(工程)
Java
数据挖掘
数据预处理
序列(生物学)
操作系统
程序设计语言
数学
遗传学
生物
统计
作者
Anthony Bolger,Marc Lohse,Björn Usadel
出处
期刊:Bioinformatics
[Oxford University Press]
日期:2014-04-01
卷期号:30 (15): 2114-2120
被引量:64242
标识
DOI:10.1093/bioinformatics/btu170
摘要
Abstract Motivation: Although many next-generation sequencing (NGS) read preprocessing tools already existed, we could not find any tool or combination of tools that met our requirements in terms of flexibility, correct handling of paired-end data and high performance. We have developed Trimmomatic as a more flexible and efficient preprocessing tool, which could correctly handle paired-end data. Results: The value of NGS read preprocessing is demonstrated for both reference-based and reference-free tasks. Trimmomatic is shown to produce output that is at least competitive with, and in many cases superior to, that produced by other tools, in all scenarios tested. Availability and implementation: Trimmomatic is licensed under GPL V3. It is cross-platform (Java 1.5+ required) and available at http://www.usadellab.org/cms/index.php?page=trimmomatic Contact: usadel@bio1.rwth-aachen.de Supplementary information: Supplementary data are available at Bioinformatics online.
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