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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),...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
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.
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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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