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The BioGRID Interaction Database: 2011 update

The Biological General Repository for Interaction Datasets (BioGRID) is a public database that archives and disseminates genetic and protein interaction data from model organisms and humans (http://www.thebiogrid.org). BioGRID currently holds 347 966 interactions (170 162 genetic, 177 804 protein) c...

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Autores principales: Stark, Chris, Breitkreutz, Bobby-Joe, Chatr-aryamontri, Andrew, Boucher, Lorrie, Oughtred, Rose, Livstone, Michael S., Nixon, Julie, Van Auken, Kimberly, Wang, Xiaodong, Shi, Xiaoqi, Reguly, Teresa, Rust, Jennifer M., Winter, Andrew, Dolinski, Kara, Tyers, Mike
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3013707/
https://www.ncbi.nlm.nih.gov/pubmed/21071413
http://dx.doi.org/10.1093/nar/gkq1116
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author Stark, Chris
Breitkreutz, Bobby-Joe
Chatr-aryamontri, Andrew
Boucher, Lorrie
Oughtred, Rose
Livstone, Michael S.
Nixon, Julie
Van Auken, Kimberly
Wang, Xiaodong
Shi, Xiaoqi
Reguly, Teresa
Rust, Jennifer M.
Winter, Andrew
Dolinski, Kara
Tyers, Mike
author_facet Stark, Chris
Breitkreutz, Bobby-Joe
Chatr-aryamontri, Andrew
Boucher, Lorrie
Oughtred, Rose
Livstone, Michael S.
Nixon, Julie
Van Auken, Kimberly
Wang, Xiaodong
Shi, Xiaoqi
Reguly, Teresa
Rust, Jennifer M.
Winter, Andrew
Dolinski, Kara
Tyers, Mike
author_sort Stark, Chris
collection PubMed
description The Biological General Repository for Interaction Datasets (BioGRID) is a public database that archives and disseminates genetic and protein interaction data from model organisms and humans (http://www.thebiogrid.org). BioGRID currently holds 347 966 interactions (170 162 genetic, 177 804 protein) curated from both high-throughput data sets and individual focused studies, as derived from over 23 000 publications in the primary literature. Complete coverage of the entire literature is maintained for budding yeast (Saccharomyces cerevisiae), fission yeast (Schizosaccharomyces pombe) and thale cress (Arabidopsis thaliana), and efforts to expand curation across multiple metazoan species are underway. The BioGRID houses 48 831 human protein interactions that have been curated from 10 247 publications. Current curation drives are focused on particular areas of biology to enable insights into conserved networks and pathways that are relevant to human health. The BioGRID 3.0 web interface contains new search and display features that enable rapid queries across multiple data types and sources. An automated Interaction Management System (IMS) is used to prioritize, coordinate and track curation across international sites and projects. BioGRID provides interaction data to several model organism databases, resources such as Entrez-Gene and other interaction meta-databases. The entire BioGRID 3.0 data collection may be downloaded in multiple file formats, including PSI MI XML. Source code for BioGRID 3.0 is freely available without any restrictions.
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spelling pubmed-30137072011-01-03 The BioGRID Interaction Database: 2011 update Stark, Chris Breitkreutz, Bobby-Joe Chatr-aryamontri, Andrew Boucher, Lorrie Oughtred, Rose Livstone, Michael S. Nixon, Julie Van Auken, Kimberly Wang, Xiaodong Shi, Xiaoqi Reguly, Teresa Rust, Jennifer M. Winter, Andrew Dolinski, Kara Tyers, Mike Nucleic Acids Res Articles The Biological General Repository for Interaction Datasets (BioGRID) is a public database that archives and disseminates genetic and protein interaction data from model organisms and humans (http://www.thebiogrid.org). BioGRID currently holds 347 966 interactions (170 162 genetic, 177 804 protein) curated from both high-throughput data sets and individual focused studies, as derived from over 23 000 publications in the primary literature. Complete coverage of the entire literature is maintained for budding yeast (Saccharomyces cerevisiae), fission yeast (Schizosaccharomyces pombe) and thale cress (Arabidopsis thaliana), and efforts to expand curation across multiple metazoan species are underway. The BioGRID houses 48 831 human protein interactions that have been curated from 10 247 publications. Current curation drives are focused on particular areas of biology to enable insights into conserved networks and pathways that are relevant to human health. The BioGRID 3.0 web interface contains new search and display features that enable rapid queries across multiple data types and sources. An automated Interaction Management System (IMS) is used to prioritize, coordinate and track curation across international sites and projects. BioGRID provides interaction data to several model organism databases, resources such as Entrez-Gene and other interaction meta-databases. The entire BioGRID 3.0 data collection may be downloaded in multiple file formats, including PSI MI XML. Source code for BioGRID 3.0 is freely available without any restrictions. Oxford University Press 2011-01 2010-11-11 /pmc/articles/PMC3013707/ /pubmed/21071413 http://dx.doi.org/10.1093/nar/gkq1116 Text en © The Author(s) 2010. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/2.5 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.5), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Articles
Stark, Chris
Breitkreutz, Bobby-Joe
Chatr-aryamontri, Andrew
Boucher, Lorrie
Oughtred, Rose
Livstone, Michael S.
Nixon, Julie
Van Auken, Kimberly
Wang, Xiaodong
Shi, Xiaoqi
Reguly, Teresa
Rust, Jennifer M.
Winter, Andrew
Dolinski, Kara
Tyers, Mike
The BioGRID Interaction Database: 2011 update
title The BioGRID Interaction Database: 2011 update
title_full The BioGRID Interaction Database: 2011 update
title_fullStr The BioGRID Interaction Database: 2011 update
title_full_unstemmed The BioGRID Interaction Database: 2011 update
title_short The BioGRID Interaction Database: 2011 update
title_sort biogrid interaction database: 2011 update
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3013707/
https://www.ncbi.nlm.nih.gov/pubmed/21071413
http://dx.doi.org/10.1093/nar/gkq1116
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