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Galaxy tools and workflows for sequence analysis with applications in molecular plant pathology

The Galaxy Project offers the popular web browser-based platform Galaxy for running bioinformatics tools and constructing simple workflows. Here, we present a broad collection of additional Galaxy tools for large scale analysis of gene and protein sequences. The motivating research theme is the iden...

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Autores principales: Cock, Peter J.A., Grüning, Björn A., Paszkiewicz, Konrad, Pritchard, Leighton
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3792188/
https://www.ncbi.nlm.nih.gov/pubmed/24109552
http://dx.doi.org/10.7717/peerj.167
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author Cock, Peter J.A.
Grüning, Björn A.
Paszkiewicz, Konrad
Pritchard, Leighton
author_facet Cock, Peter J.A.
Grüning, Björn A.
Paszkiewicz, Konrad
Pritchard, Leighton
author_sort Cock, Peter J.A.
collection PubMed
description The Galaxy Project offers the popular web browser-based platform Galaxy for running bioinformatics tools and constructing simple workflows. Here, we present a broad collection of additional Galaxy tools for large scale analysis of gene and protein sequences. The motivating research theme is the identification of specific genes of interest in a range of non-model organisms, and our central example is the identification and prediction of “effector” proteins produced by plant pathogens in order to manipulate their host plant. This functional annotation of a pathogen’s predicted capacity for virulence is a key step in translating sequence data into potential applications in plant pathology. This collection includes novel tools, and widely-used third-party tools such as NCBI BLAST+ wrapped for use within Galaxy. Individual bioinformatics software tools are typically available separately as standalone packages, or in online browser-based form. The Galaxy framework enables the user to combine these and other tools to automate organism scale analyses as workflows, without demanding familiarity with command line tools and scripting. Workflows created using Galaxy can be saved and are reusable, so may be distributed within and between research groups, facilitating the construction of a set of standardised, reusable bioinformatic protocols. The Galaxy tools and workflows described in this manuscript are open source and freely available from the Galaxy Tool Shed (http://usegalaxy.org/toolshed or http://toolshed.g2.bx.psu.edu).
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spelling pubmed-37921882013-10-09 Galaxy tools and workflows for sequence analysis with applications in molecular plant pathology Cock, Peter J.A. Grüning, Björn A. Paszkiewicz, Konrad Pritchard, Leighton PeerJ Agricultural Science The Galaxy Project offers the popular web browser-based platform Galaxy for running bioinformatics tools and constructing simple workflows. Here, we present a broad collection of additional Galaxy tools for large scale analysis of gene and protein sequences. The motivating research theme is the identification of specific genes of interest in a range of non-model organisms, and our central example is the identification and prediction of “effector” proteins produced by plant pathogens in order to manipulate their host plant. This functional annotation of a pathogen’s predicted capacity for virulence is a key step in translating sequence data into potential applications in plant pathology. This collection includes novel tools, and widely-used third-party tools such as NCBI BLAST+ wrapped for use within Galaxy. Individual bioinformatics software tools are typically available separately as standalone packages, or in online browser-based form. The Galaxy framework enables the user to combine these and other tools to automate organism scale analyses as workflows, without demanding familiarity with command line tools and scripting. Workflows created using Galaxy can be saved and are reusable, so may be distributed within and between research groups, facilitating the construction of a set of standardised, reusable bioinformatic protocols. The Galaxy tools and workflows described in this manuscript are open source and freely available from the Galaxy Tool Shed (http://usegalaxy.org/toolshed or http://toolshed.g2.bx.psu.edu). PeerJ Inc. 2013-09-17 /pmc/articles/PMC3792188/ /pubmed/24109552 http://dx.doi.org/10.7717/peerj.167 Text en © 2013 Cock et al. http://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Agricultural Science
Cock, Peter J.A.
Grüning, Björn A.
Paszkiewicz, Konrad
Pritchard, Leighton
Galaxy tools and workflows for sequence analysis with applications in molecular plant pathology
title Galaxy tools and workflows for sequence analysis with applications in molecular plant pathology
title_full Galaxy tools and workflows for sequence analysis with applications in molecular plant pathology
title_fullStr Galaxy tools and workflows for sequence analysis with applications in molecular plant pathology
title_full_unstemmed Galaxy tools and workflows for sequence analysis with applications in molecular plant pathology
title_short Galaxy tools and workflows for sequence analysis with applications in molecular plant pathology
title_sort galaxy tools and workflows for sequence analysis with applications in molecular plant pathology
topic Agricultural Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3792188/
https://www.ncbi.nlm.nih.gov/pubmed/24109552
http://dx.doi.org/10.7717/peerj.167
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