Manipulation of FASTQ data with galaxy

Daniel Blankenberg; Assaf Gordon; Gregory Von Kuster; Nathan Coraor; James Taylor; Anton Nekrutenko; Galaxy Team

doi:10.1093/bioinformatics/btq281

Manipulation of FASTQ data with galaxy

Daniel Blankenberg, Assaf Gordon, Gregory Von Kuster, Nathan Coraor, James Taylor, Anton Nekrutenko, Galaxy Team

Research output: Contribution to journal › Article › peer-review

487 Scopus citations

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.

Original language	English (US)
Article number	btq281
Pages (from-to)	1783-1785
Number of pages	3
Journal	Bioinformatics
Volume	26
Issue number	14
DOIs	https://doi.org/10.1093/bioinformatics/btq281
State	Published - Jun 18 2010

All Science Journal Classification (ASJC) codes

Statistics and Probability
Biochemistry
Molecular Biology
Computer Science Applications
Computational Theory and Mathematics
Computational Mathematics

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10.1093/bioinformatics/btq281

Cite this

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title = "Manipulation of FASTQ data with galaxy",

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.",

author = "Daniel Blankenberg and Assaf Gordon and {Von Kuster}, Gregory and Nathan Coraor and James Taylor and Anton Nekrutenko and Galaxy Team",

note = "Funding Information: Funding: Beckman Foundation Young Investigator Award (to A.N.); NSF grant DBI 0850103 and NIH grant HG004909 (to A.N. and J.T.); Penn State University and the Huck Institutes for the Life Sciences (to A.N.); Emory University (to J.T.); grant with the Pennsylvania Department of Health using Tobacco Settlement Funds (in part). The Department specifically disclaims responsibility for any analyses, interpretations, or conclusions.",

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doi = "10.1093/bioinformatics/btq281",

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T1 - Manipulation of FASTQ data with galaxy

AU - Blankenberg, Daniel

AU - Gordon, Assaf

AU - Von Kuster, Gregory

AU - Coraor, Nathan

AU - Taylor, James

AU - Nekrutenko, Anton

AU - Team, Galaxy

N1 - Funding Information: Funding: Beckman Foundation Young Investigator Award (to A.N.); NSF grant DBI 0850103 and NIH grant HG004909 (to A.N. and J.T.); Penn State University and the Huck Institutes for the Life Sciences (to A.N.); Emory University (to J.T.); grant with the Pennsylvania Department of Health using Tobacco Settlement Funds (in part). The Department specifically disclaims responsibility for any analyses, interpretations, or conclusions.

PY - 2010/6/18

Y1 - 2010/6/18

N2 - 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.

AB - 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.

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ER -

Manipulation of FASTQ data with galaxy

Abstract

All Science Journal Classification (ASJC) codes

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