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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
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.
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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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