Manipulation of FASTQ data with Galaxy.

Manipulation of FASTQ data with Galaxy.
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DOI:
10.1093/bioinformatics/btq281
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发表时间:
2010-07-15
期刊:
Bioinformatics (Oxford, England)
影响因子:
--
通讯作者:
Galaxy Team
Galaxy Team
中科院分区:
其他
文献类型:
--
作者:
Blankenberg D;Gordon A;Von Kuster G;Coraor N;Taylor J;Nekrutenko A;Galaxy Team

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摘要:在这里,我们描述了一个工具套件,它可以在所有众所周知的 FASTQ 格式变体上运行,并提供一个管道,用于通过质量过滤步骤来操作从测序机获取的下一代测序数据。可用性和实现:这个开源工具集是用Python实现的,并已集成到在线数据分析平台Galaxy中(公共网络访问:http://usegalaxy.org;下载:http://getgalaxy.org)。两部短片强调了本手稿中描述的工具的功能,以及针对一组先前发布的文件测试该工具套件的组件的结果,请访问 http://usegalaxy.org/u/dan/p/fastq 联系方式:james.taylor@emory.edu; anton@bx.psu.edu 补充信息:补充数据可在生物信息学在线获取。
Summary: Here, we describe a tool suite that functions on all of the commonly known FASTQ format variants and provides a pipeline for manipulating next generation sequencing data taken from a sequencing machine all the way through the quality filtering steps. Availability and Implementation: This open-source toolset was implemented in Python and has been integrated into the online data analysis platform Galaxy (public web access: http://usegalaxy.org; download: http://getgalaxy.org). Two short movies that highlight the functionality of tools described in this manuscript as well as results from testing components of this tool suite against a set of previously published files are available at http://usegalaxy.org/u/dan/p/fastq Contact: james.taylor@emory.edu; anton@bx.psu.edu Supplementary information: Supplementary data are available at Bioinformatics online.
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影响因子: 14.9
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