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blend4php: a PHP API for galaxy

Galaxy is a popular framework for execution of complex analytical pipelines typically for large data sets, and is a commonly used for (but not limited to) genomic, genetic and related biological analysis. It provides a web front-end and integrates with high performance computing resources. Here we r...

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Detalles Bibliográficos
Autores principales: Wytko, Connor, Soto, Brian, Ficklin, Stephen P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5225400/
https://www.ncbi.nlm.nih.gov/pubmed/28077564
http://dx.doi.org/10.1093/database/baw154
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author Wytko, Connor
Soto, Brian
Ficklin, Stephen P.
author_facet Wytko, Connor
Soto, Brian
Ficklin, Stephen P.
author_sort Wytko, Connor
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description Galaxy is a popular framework for execution of complex analytical pipelines typically for large data sets, and is a commonly used for (but not limited to) genomic, genetic and related biological analysis. It provides a web front-end and integrates with high performance computing resources. Here we report the development of the blend4php library that wraps Galaxy’s RESTful API into a PHP-based library. PHP-based web applications can use blend4php to automate execution, monitoring and management of a remote Galaxy server, including its users, workflows, jobs and more. The blend4php library was specifically developed for the integration of Galaxy with Tripal, the open-source toolkit for the creation of online genomic and genetic web sites. However, it was designed as an independent library for use by any application, and is freely available under version 3 of the GNU Lesser General Public License (LPGL v3.0) at https://github.com/galaxyproject/blend4php. Database URL: https://github.com/galaxyproject/blend4php
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spelling pubmed-52254002017-01-18 blend4php: a PHP API for galaxy Wytko, Connor Soto, Brian Ficklin, Stephen P. Database (Oxford) Technical Report Galaxy is a popular framework for execution of complex analytical pipelines typically for large data sets, and is a commonly used for (but not limited to) genomic, genetic and related biological analysis. It provides a web front-end and integrates with high performance computing resources. Here we report the development of the blend4php library that wraps Galaxy’s RESTful API into a PHP-based library. PHP-based web applications can use blend4php to automate execution, monitoring and management of a remote Galaxy server, including its users, workflows, jobs and more. The blend4php library was specifically developed for the integration of Galaxy with Tripal, the open-source toolkit for the creation of online genomic and genetic web sites. However, it was designed as an independent library for use by any application, and is freely available under version 3 of the GNU Lesser General Public License (LPGL v3.0) at https://github.com/galaxyproject/blend4php. Database URL: https://github.com/galaxyproject/blend4php Oxford University Press 2017-01-10 /pmc/articles/PMC5225400/ /pubmed/28077564 http://dx.doi.org/10.1093/database/baw154 Text en © The Author(s) 2017. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Technical Report
Wytko, Connor
Soto, Brian
Ficklin, Stephen P.
blend4php: a PHP API for galaxy
title blend4php: a PHP API for galaxy
title_full blend4php: a PHP API for galaxy
title_fullStr blend4php: a PHP API for galaxy
title_full_unstemmed blend4php: a PHP API for galaxy
title_short blend4php: a PHP API for galaxy
title_sort blend4php: a php api for galaxy
topic Technical Report
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5225400/
https://www.ncbi.nlm.nih.gov/pubmed/28077564
http://dx.doi.org/10.1093/database/baw154
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