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The BioGRID interaction database: 2019 update
The Biological General Repository for Interaction Datasets (BioGRID: https://thebiogrid.org) is an open access database dedicated to the curation and archival storage of protein, genetic and chemical interactions for all major model organism species and humans. As of September 2018 (build 3.4.164),...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6324058/ https://www.ncbi.nlm.nih.gov/pubmed/30476227 http://dx.doi.org/10.1093/nar/gky1079 |
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author | Oughtred, Rose Stark, Chris Breitkreutz, Bobby-Joe Rust, Jennifer Boucher, Lorrie Chang, Christie Kolas, Nadine O’Donnell, Lara Leung, Genie McAdam, Rochelle Zhang, Frederick Dolma, Sonam Willems, Andrew Coulombe-Huntington, Jasmin Chatr-aryamontri, Andrew Dolinski, Kara Tyers, Mike |
author_facet | Oughtred, Rose Stark, Chris Breitkreutz, Bobby-Joe Rust, Jennifer Boucher, Lorrie Chang, Christie Kolas, Nadine O’Donnell, Lara Leung, Genie McAdam, Rochelle Zhang, Frederick Dolma, Sonam Willems, Andrew Coulombe-Huntington, Jasmin Chatr-aryamontri, Andrew Dolinski, Kara Tyers, Mike |
author_sort | Oughtred, Rose |
collection | PubMed |
description | The Biological General Repository for Interaction Datasets (BioGRID: https://thebiogrid.org) is an open access database dedicated to the curation and archival storage of protein, genetic and chemical interactions for all major model organism species and humans. As of September 2018 (build 3.4.164), BioGRID contains records for 1 598 688 biological interactions manually annotated from 55 809 publications for 71 species, as classified by an updated set of controlled vocabularies for experimental detection methods. BioGRID also houses records for >700 000 post-translational modification sites. BioGRID now captures chemical interaction data, including chemical–protein interactions for human drug targets drawn from the DrugBank database and manually curated bioactive compounds reported in the literature. A new dedicated aspect of BioGRID annotates genome-wide CRISPR/Cas9-based screens that report gene–phenotype and gene–gene relationships. An extension of the BioGRID resource called the Open Repository for CRISPR Screens (ORCS) database (https://orcs.thebiogrid.org) currently contains over 500 genome-wide screens carried out in human or mouse cell lines. All data in BioGRID is made freely available without restriction, is directly downloadable in standard formats and can be readily incorporated into existing applications via our web service platforms. BioGRID data are also freely distributed through partner model organism databases and meta-databases. |
format | Online Article Text |
id | pubmed-6324058 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-63240582019-01-10 The BioGRID interaction database: 2019 update Oughtred, Rose Stark, Chris Breitkreutz, Bobby-Joe Rust, Jennifer Boucher, Lorrie Chang, Christie Kolas, Nadine O’Donnell, Lara Leung, Genie McAdam, Rochelle Zhang, Frederick Dolma, Sonam Willems, Andrew Coulombe-Huntington, Jasmin Chatr-aryamontri, Andrew Dolinski, Kara Tyers, Mike Nucleic Acids Res Database Issue The Biological General Repository for Interaction Datasets (BioGRID: https://thebiogrid.org) is an open access database dedicated to the curation and archival storage of protein, genetic and chemical interactions for all major model organism species and humans. As of September 2018 (build 3.4.164), BioGRID contains records for 1 598 688 biological interactions manually annotated from 55 809 publications for 71 species, as classified by an updated set of controlled vocabularies for experimental detection methods. BioGRID also houses records for >700 000 post-translational modification sites. BioGRID now captures chemical interaction data, including chemical–protein interactions for human drug targets drawn from the DrugBank database and manually curated bioactive compounds reported in the literature. A new dedicated aspect of BioGRID annotates genome-wide CRISPR/Cas9-based screens that report gene–phenotype and gene–gene relationships. An extension of the BioGRID resource called the Open Repository for CRISPR Screens (ORCS) database (https://orcs.thebiogrid.org) currently contains over 500 genome-wide screens carried out in human or mouse cell lines. All data in BioGRID is made freely available without restriction, is directly downloadable in standard formats and can be readily incorporated into existing applications via our web service platforms. BioGRID data are also freely distributed through partner model organism databases and meta-databases. Oxford University Press 2019-01-08 2018-11-24 /pmc/articles/PMC6324058/ /pubmed/30476227 http://dx.doi.org/10.1093/nar/gky1079 Text en © The Author(s) 2018. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Database Issue Oughtred, Rose Stark, Chris Breitkreutz, Bobby-Joe Rust, Jennifer Boucher, Lorrie Chang, Christie Kolas, Nadine O’Donnell, Lara Leung, Genie McAdam, Rochelle Zhang, Frederick Dolma, Sonam Willems, Andrew Coulombe-Huntington, Jasmin Chatr-aryamontri, Andrew Dolinski, Kara Tyers, Mike The BioGRID interaction database: 2019 update |
title | The BioGRID interaction database: 2019 update |
title_full | The BioGRID interaction database: 2019 update |
title_fullStr | The BioGRID interaction database: 2019 update |
title_full_unstemmed | The BioGRID interaction database: 2019 update |
title_short | The BioGRID interaction database: 2019 update |
title_sort | biogrid interaction database: 2019 update |
topic | Database Issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6324058/ https://www.ncbi.nlm.nih.gov/pubmed/30476227 http://dx.doi.org/10.1093/nar/gky1079 |
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