The BioGRID interaction database: 2019 update. Issue Volume 47:Issue D1(2019) (24th November 2018)
- Record Type:
- Journal Article
- Title:
- The BioGRID interaction database: 2019 update. Issue Volume 47:Issue D1(2019) (24th November 2018)
- Main Title:
- The BioGRID interaction database: 2019 update
- Authors:
- 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 - Abstract:
- Abstract: 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.
- Is Part Of:
- Nucleic acids research. Volume 47:Issue D1(2019)
- Journal:
- Nucleic acids research
- Issue:
- Volume 47:Issue D1(2019)
- Issue Display:
- Volume 47, Issue 1 (2019)
- Year:
- 2019
- Volume:
- 47
- Issue:
- 1
- Issue Sort Value:
- 2019-0047-0001-0000
- Page Start:
- D529
- Page End:
- D541
- Publication Date:
- 2018-11-24
- Subjects:
- Nucleic acids -- Periodicals
Molecular biology -- Periodicals
572.805 - Journal URLs:
- http://nar.oxfordjournals.org/ ↗
http://www.ncbi.nlm.nih.gov/pmc/journals/4 ↗
http://ukcatalogue.oup.com/ ↗
http://firstsearch.oclc.org ↗ - DOI:
- 10.1093/nar/gky1079 ↗
- Languages:
- English
- ISSNs:
- 0305-1048
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 6183.850000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 12038.xml