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PMID: 23794635 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't

GeneMANIA prediction server 2013 update.

Nucleic acids research ·Vol. 41 ·No. Web Server issue ·2013-07-00 ·Pages W115-22

Zuberi K, Franz M, Rodriguez H, Montojo J, Lopes CT, Bader GD, Morris Q

Abstract

GeneMANIA (http://www.genemania.org) is a flexible user-friendly web interface for generating hypotheses about gene function, analyzing gene lists and prioritizing genes for functional assays. Given a query gene list, GeneMANIA extends the list with functionally similar genes that it identifies using available genomics and proteomics data. GeneMANIA also reports weights that indicate the predictive value of each selected data set for the query. GeneMANIA can also be used in a function prediction setting: given a query gene, GeneMANIA finds a small set of genes that are most likely to share function with that gene based on their interactions with it. Enriched Gene Ontology categories among this set can sometimes point to the function of the gene. Seven organisms are currently supported (Arabidopsis thaliana, Caenorhabditis elegans, Drosophila melanogaster, Mus musculus, Homo sapiens, Rattus norvegicus and Saccharomyces cerevisiae), and hundreds of data sets have been collected from GEO, BioGRID, IRefIndex and I2D, as well as organism-specific functional genomics data sets. Users can customize their search by selecting specific data sets to query and by uploading their own data sets to analyze.

MeSH Terms
Algorithms Animals Gene Regulatory Networks Genes Humans Internet Mice Rats Software
Authors & Affiliations
7 authors, click to expand affiliations / ORCID
Zuberi Khalid
The Donnelly Centre, University of Toronto, Ontario, Canada.
Franz Max
Rodriguez Harold
Montojo Jason
Lopes Christian Tannus
Bader Gary D
Morris Quaid
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Article Info
Journal
Nucleic acids research
Abbr.
Nucleic Acids Res
ISSN
1362-4962
Published
2013-07-00
Pages
W115-22
Language
English
Region
England
NLM ID
0411011
PMCID
PMC3692113
Subset
IM
Grants
NIGMS NIH HHS · P41 GM103504 · United States
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