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The Dockstore: enhancing a community platform for sharing reproducible and accessible computational protocols
Dockstore (https://dockstore.org/) is an open source platform for publishing, sharing, and finding bioinformatics tools and workflows. The platform has facilitated large-scale biomedical research collaborations by using cloud technologies to increase the Findability, Accessibility, Interoperability...
Autores principales: | , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8218198/ https://www.ncbi.nlm.nih.gov/pubmed/33978761 http://dx.doi.org/10.1093/nar/gkab346 |
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author | Yuen, Denis Cabansay, Louise Duncan, Andrew Luu, Gary Hogue, Gregory Overbeck, Charles Perez, Natalie Shands, Walt Steinberg, David Reid, Chaz Olunwa, Nneka Hansen, Richard Sheets, Elizabeth O’Farrell, Ash Cullion, Kim O’Connor, Brian D Paten, Benedict Stein, Lincoln |
author_facet | Yuen, Denis Cabansay, Louise Duncan, Andrew Luu, Gary Hogue, Gregory Overbeck, Charles Perez, Natalie Shands, Walt Steinberg, David Reid, Chaz Olunwa, Nneka Hansen, Richard Sheets, Elizabeth O’Farrell, Ash Cullion, Kim O’Connor, Brian D Paten, Benedict Stein, Lincoln |
author_sort | Yuen, Denis |
collection | PubMed |
description | Dockstore (https://dockstore.org/) is an open source platform for publishing, sharing, and finding bioinformatics tools and workflows. The platform has facilitated large-scale biomedical research collaborations by using cloud technologies to increase the Findability, Accessibility, Interoperability and Reusability (FAIR) of computational resources, thereby promoting the reproducibility of complex bioinformatics analyses. Dockstore supports a variety of source repositories, analysis frameworks, and language technologies to provide a seamless publishing platform for authors to create a centralized catalogue of scientific software. The ready-to-use packaging of hundreds of tools and workflows, combined with the implementation of interoperability standards, enables users to launch analyses across multiple environments. Dockstore is widely used, more than twenty-five high-profile organizations share analysis collections through the platform in a variety of workflow languages, including the Broad Institute's GATK best practice and COVID-19 workflows (WDL), nf-core workflows (Nextflow), the Intergalactic Workflow Commission tools (Galaxy), and workflows from Seven Bridges (CWL) to highlight just a few. Here we describe the improvements made over the last four years, including the expansion of system integrations supporting authors, the addition of collaboration features and analysis platform integrations supporting users, and other enhancements that improve the overall scientific reproducibility of Dockstore content. |
format | Online Article Text |
id | pubmed-8218198 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-82181982021-06-22 The Dockstore: enhancing a community platform for sharing reproducible and accessible computational protocols Yuen, Denis Cabansay, Louise Duncan, Andrew Luu, Gary Hogue, Gregory Overbeck, Charles Perez, Natalie Shands, Walt Steinberg, David Reid, Chaz Olunwa, Nneka Hansen, Richard Sheets, Elizabeth O’Farrell, Ash Cullion, Kim O’Connor, Brian D Paten, Benedict Stein, Lincoln Nucleic Acids Res Web Server Issue Dockstore (https://dockstore.org/) is an open source platform for publishing, sharing, and finding bioinformatics tools and workflows. The platform has facilitated large-scale biomedical research collaborations by using cloud technologies to increase the Findability, Accessibility, Interoperability and Reusability (FAIR) of computational resources, thereby promoting the reproducibility of complex bioinformatics analyses. Dockstore supports a variety of source repositories, analysis frameworks, and language technologies to provide a seamless publishing platform for authors to create a centralized catalogue of scientific software. The ready-to-use packaging of hundreds of tools and workflows, combined with the implementation of interoperability standards, enables users to launch analyses across multiple environments. Dockstore is widely used, more than twenty-five high-profile organizations share analysis collections through the platform in a variety of workflow languages, including the Broad Institute's GATK best practice and COVID-19 workflows (WDL), nf-core workflows (Nextflow), the Intergalactic Workflow Commission tools (Galaxy), and workflows from Seven Bridges (CWL) to highlight just a few. Here we describe the improvements made over the last four years, including the expansion of system integrations supporting authors, the addition of collaboration features and analysis platform integrations supporting users, and other enhancements that improve the overall scientific reproducibility of Dockstore content. Oxford University Press 2021-05-12 /pmc/articles/PMC8218198/ /pubmed/33978761 http://dx.doi.org/10.1093/nar/gkab346 Text en © The Author(s) 2021. Published by Oxford University Press on behalf of Nucleic Acids Research. https://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/ (https://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 Yuen, Denis Cabansay, Louise Duncan, Andrew Luu, Gary Hogue, Gregory Overbeck, Charles Perez, Natalie Shands, Walt Steinberg, David Reid, Chaz Olunwa, Nneka Hansen, Richard Sheets, Elizabeth O’Farrell, Ash Cullion, Kim O’Connor, Brian D Paten, Benedict Stein, Lincoln The Dockstore: enhancing a community platform for sharing reproducible and accessible computational protocols |
title | The Dockstore: enhancing a community platform for sharing reproducible and accessible computational protocols |
title_full | The Dockstore: enhancing a community platform for sharing reproducible and accessible computational protocols |
title_fullStr | The Dockstore: enhancing a community platform for sharing reproducible and accessible computational protocols |
title_full_unstemmed | The Dockstore: enhancing a community platform for sharing reproducible and accessible computational protocols |
title_short | The Dockstore: enhancing a community platform for sharing reproducible and accessible computational protocols |
title_sort | dockstore: enhancing a community platform for sharing reproducible and accessible computational protocols |
topic | Web Server Issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8218198/ https://www.ncbi.nlm.nih.gov/pubmed/33978761 http://dx.doi.org/10.1093/nar/gkab346 |
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