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. 2011 Jan;39(Database issue):D698-704.
doi: 10.1093/nar/gkq1116. Epub 2010 Nov 11.

The BioGRID Interaction Database: 2011 update

Affiliations

The BioGRID Interaction Database: 2011 update

Chris Stark et al. Nucleic Acids Res. 2011 Jan.

Abstract

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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Figures

Figure 1.
Figure 1.
Distribution of BioGRID users (left) and traffic sources (right).
Figure 2.
Figure 2.
Sample BioGRID 3.0 search result layout. (A) Search annotation includes description of gene/protein function, gene aliases, external database linkouts and Gene Ontology (GO) annotation. (B) Statistics for physical and genetic interactions, subdivided into HTP and LTP data. (C) Search filters enable user-customized display of results. (D) Interaction view options. (E) Annotation for each interaction partner. (F) Summary of protein and genetic interaction replicates. (G) Interaction details for publication, role as bait or hit, experimental evidence code, data type and applicable free text notes.

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