Cargando…
The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2020 update
Galaxy (https://galaxyproject.org) is a web-based computational workbench used by tens of thousands of scientists across the world to analyze large biomedical datasets. Since 2005, the Galaxy project has fostered a global community focused on achieving accessible, reproducible, and collaborative res...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7319590/ https://www.ncbi.nlm.nih.gov/pubmed/32479607 http://dx.doi.org/10.1093/nar/gkaa434 |
_version_ | 1783551085127925760 |
---|---|
author | Jalili, Vahid Afgan, Enis Gu, Qiang Clements, Dave Blankenberg, Daniel Goecks, Jeremy Taylor, James Nekrutenko, Anton |
author_facet | Jalili, Vahid Afgan, Enis Gu, Qiang Clements, Dave Blankenberg, Daniel Goecks, Jeremy Taylor, James Nekrutenko, Anton |
author_sort | Jalili, Vahid |
collection | PubMed |
description | Galaxy (https://galaxyproject.org) is a web-based computational workbench used by tens of thousands of scientists across the world to analyze large biomedical datasets. Since 2005, the Galaxy project has fostered a global community focused on achieving accessible, reproducible, and collaborative research. Together, this community develops the Galaxy software framework, integrates analysis tools and visualizations into the framework, runs public servers that make Galaxy available via a web browser, performs and publishes analyses using Galaxy, leads bioinformatics workshops that introduce and use Galaxy, and develops interactive training materials for Galaxy. Over the last two years, all aspects of the Galaxy project have grown: code contributions, tools integrated, users, and training materials. Key advances in Galaxy's user interface include enhancements for analyzing large dataset collections as well as interactive tools for exploratory data analysis. Extensions to Galaxy's framework include support for federated identity and access management and increased ability to distribute analysis jobs to remote resources. New community resources include large public servers in Europe and Australia, an increasing number of regional and local Galaxy communities, and substantial growth in the Galaxy Training Network. |
format | Online Article Text |
id | pubmed-7319590 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-73195902020-07-13 The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2020 update Jalili, Vahid Afgan, Enis Gu, Qiang Clements, Dave Blankenberg, Daniel Goecks, Jeremy Taylor, James Nekrutenko, Anton Nucleic Acids Res Web Server Issue Galaxy (https://galaxyproject.org) is a web-based computational workbench used by tens of thousands of scientists across the world to analyze large biomedical datasets. Since 2005, the Galaxy project has fostered a global community focused on achieving accessible, reproducible, and collaborative research. Together, this community develops the Galaxy software framework, integrates analysis tools and visualizations into the framework, runs public servers that make Galaxy available via a web browser, performs and publishes analyses using Galaxy, leads bioinformatics workshops that introduce and use Galaxy, and develops interactive training materials for Galaxy. Over the last two years, all aspects of the Galaxy project have grown: code contributions, tools integrated, users, and training materials. Key advances in Galaxy's user interface include enhancements for analyzing large dataset collections as well as interactive tools for exploratory data analysis. Extensions to Galaxy's framework include support for federated identity and access management and increased ability to distribute analysis jobs to remote resources. New community resources include large public servers in Europe and Australia, an increasing number of regional and local Galaxy communities, and substantial growth in the Galaxy Training Network. Oxford University Press 2020-07-02 2020-06-01 /pmc/articles/PMC7319590/ /pubmed/32479607 http://dx.doi.org/10.1093/nar/gkaa434 Text en © The Author(s) 2020. Published by Oxford University Press on behalf of Nucleic Acids Research. 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 | Web Server Issue Jalili, Vahid Afgan, Enis Gu, Qiang Clements, Dave Blankenberg, Daniel Goecks, Jeremy Taylor, James Nekrutenko, Anton The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2020 update |
title | The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2020 update |
title_full | The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2020 update |
title_fullStr | The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2020 update |
title_full_unstemmed | The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2020 update |
title_short | The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2020 update |
title_sort | galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2020 update |
topic | Web Server Issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7319590/ https://www.ncbi.nlm.nih.gov/pubmed/32479607 http://dx.doi.org/10.1093/nar/gkaa434 |
work_keys_str_mv | AT jalilivahid thegalaxyplatformforaccessiblereproducibleandcollaborativebiomedicalanalyses2020update AT afganenis thegalaxyplatformforaccessiblereproducibleandcollaborativebiomedicalanalyses2020update AT guqiang thegalaxyplatformforaccessiblereproducibleandcollaborativebiomedicalanalyses2020update AT clementsdave thegalaxyplatformforaccessiblereproducibleandcollaborativebiomedicalanalyses2020update AT blankenbergdaniel thegalaxyplatformforaccessiblereproducibleandcollaborativebiomedicalanalyses2020update AT goecksjeremy thegalaxyplatformforaccessiblereproducibleandcollaborativebiomedicalanalyses2020update AT taylorjames thegalaxyplatformforaccessiblereproducibleandcollaborativebiomedicalanalyses2020update AT nekrutenkoanton thegalaxyplatformforaccessiblereproducibleandcollaborativebiomedicalanalyses2020update AT jalilivahid galaxyplatformforaccessiblereproducibleandcollaborativebiomedicalanalyses2020update AT afganenis galaxyplatformforaccessiblereproducibleandcollaborativebiomedicalanalyses2020update AT guqiang galaxyplatformforaccessiblereproducibleandcollaborativebiomedicalanalyses2020update AT clementsdave galaxyplatformforaccessiblereproducibleandcollaborativebiomedicalanalyses2020update AT blankenbergdaniel galaxyplatformforaccessiblereproducibleandcollaborativebiomedicalanalyses2020update AT goecksjeremy galaxyplatformforaccessiblereproducibleandcollaborativebiomedicalanalyses2020update AT taylorjames galaxyplatformforaccessiblereproducibleandcollaborativebiomedicalanalyses2020update AT nekrutenkoanton galaxyplatformforaccessiblereproducibleandcollaborativebiomedicalanalyses2020update |