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
%0 Journal Article
%1 Blankenberg:2010mm
%A Blankenberg, D.
%A Gordon, A.
%A Von Kuster, G.
%A Coraor, N.
%A Taylor, J.
%A Nekrutenko, A.
%A Team, Galaxy
%D 2010
%J Bioinformatics
%K Analysis, DNA Databases, Factual Genomics Interface Internet Sequence Software User-Computer
%N 14
%P 1783-5
%T Manipulation of FASTQ data with Galaxy.
%V 26
%X 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
@article{Blankenberg:2010mm,
abstract = {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},
added-at = {2012-06-02T05:59:56.000+0200},
author = {Blankenberg, D. and Gordon, A. and Von Kuster, G. and Coraor, N. and Taylor, J. and Nekrutenko, A. and Team, Galaxy},
biburl = {https://www.bibsonomy.org/bibtex/2b053a01020a84ff1cd8cfca25f4dadbd/ozborn},
date-added = {2012-06-01 16:59:33 -0500},
date-modified = {2012-06-01 16:59:49 -0500},
interhash = {0798b0cddb45978f562670228b661b70},
intrahash = {b053a01020a84ff1cd8cfca25f4dadbd},
journal = {Bioinformatics},
keywords = {Analysis, DNA Databases, Factual Genomics Interface Internet Sequence Software User-Computer},
number = 14,
pages = {1783-5},
timestamp = {2012-06-03T07:20:31.000+0200},
title = {Manipulation of FASTQ data with Galaxy.},
volume = 26,
year = 2010
}