Evidence map›Paper›PMID 21071413›Full record

ArticleNucleic acids research2011

The BioGRID Interaction Database: 2011 update.

Chris Stark, Bobby-Joe Breitkreutz, Andrew Chatr-Aryamontri, Lorrie Boucher, Rose Oughtred, Michael S Livstone, Julie Nixon, Kimberly Van Auken, Xiaodong Wang, Xiaoqi Shi and 5 more

Abstract read
In one paragraph

Article in Nucleic acids research, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 439 papers.

0numbers the graph read from it
0cells of the map it votes in
439citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

439 citing papers in PubMed.

  1. Article
  2. Review
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  16. Review
  17. Article
  18. Correlation Imputation for Single-Cell RNA-seq.Journal of computational biology : a journal of computational molecular cell biology · 2022
    Article
  19. Review
  20. Article

379 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Chris StarkSamuel Lunenfeld Research Institute, Mount Sinai Hospital, Toronto M5G 1X5, Canada.
Bobby-Joe Breitkreutz
Andrew Chatr-Aryamontri
Lorrie Boucher
Rose Oughtred
Michael S Livstone
Julie Nixon
Kimberly Van Auken
Xiaodong Wang
Xiaoqi Shi
Teresa Reguly
Jennifer M Rust
Andrew Winter
Kara Dolinski
Mike Tyers

Funding

Wormbase SupplementP41HG002223 · NHGRI · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI STERNBERG, PAUL WARREN · 2000 to 2012
$32.0M
BioGRID: An open resource for biological interactions and network analysisR01OD010929 · OD · SINAI HEALTH SYSTEM · PI KARA DOLINSKI, Mike Tyers · 2012 to 2026
$13.9M
BioGRID: an open resource for biological interactions and network analysisR01RR024031 · NCRR · SINAI HEALTH SYSTEM · PI TYERS, MIKE · 2007 to 2011
$3.2M
Biotechnology and Biological Sciences Research Council BB/F010486/1CIHR FRN 82940NCRR NIH HHS 1R01RR024031NCRR NIH HHS R01 RR024031NHGRI NIH HHS P41 HG002223NHGRI NIH HHS P41-HG02223
6 · The paper itself

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.

Indexed as

Databases, GeneticGene Regulatory NetworksProtein Interaction MappingAnimalsArabidopsisHumansSaccharomyces cerevisiaeSchizosaccharomycesUser-Computer Interface

Identifiers

PMID21071413
PMCPMC3013707

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.