GeneMANIA: Fast gene network construction and function prediction for Cytoscape

The GeneMANIA Cytoscape app enables users to construct a composite gene-gene functional interaction network from a gene list. The resulting network includes the genes most related to the original list, and functional annotations from Gene Ontology. The edges are annotated with details about the publ...

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Detalles Bibliográficos
Autores principales: Montojo, Jason, Zuberi, Khalid, Rodriguez, Harold, Bader, Gary D., Morris, Quaid
Formato: Online Artículo Texto
Lenguaje:English
Publicado: F1000Research 2014
Materias:
Software Tool
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4168749/
https://www.ncbi.nlm.nih.gov/pubmed/25254104
http://dx.doi.org/10.12688/f1000research.4572.1
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author Montojo, Jason
Zuberi, Khalid
Rodriguez, Harold
Bader, Gary D.
Morris, Quaid
author_facet Montojo, Jason
Zuberi, Khalid
Rodriguez, Harold
Bader, Gary D.
Morris, Quaid
author_sort Montojo, Jason
collection PubMed
description The GeneMANIA Cytoscape app enables users to construct a composite gene-gene functional interaction network from a gene list. The resulting network includes the genes most related to the original list, and functional annotations from Gene Ontology. The edges are annotated with details about the publication or data source the interactions were derived from. The app leverages GeneMANIA’s database of 1800+ networks, containing over 500 million interactions spanning 8 organisms: A. thaliana, C. elegans, D. melanogaster, D. rerio, H. sapiens, M. musculus, R. norvegicus, and S. cerevisiae. Users may also import their own organisms, networks, and expression profiles. The app is compatible with Cytoscape versions 2 and 3.
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spelling pubmed-41687492014-09-23 GeneMANIA: Fast gene network construction and function prediction for Cytoscape Montojo, Jason Zuberi, Khalid Rodriguez, Harold Bader, Gary D. Morris, Quaid F1000Res Software Tool The GeneMANIA Cytoscape app enables users to construct a composite gene-gene functional interaction network from a gene list. The resulting network includes the genes most related to the original list, and functional annotations from Gene Ontology. The edges are annotated with details about the publication or data source the interactions were derived from. The app leverages GeneMANIA’s database of 1800+ networks, containing over 500 million interactions spanning 8 organisms: A. thaliana, C. elegans, D. melanogaster, D. rerio, H. sapiens, M. musculus, R. norvegicus, and S. cerevisiae. Users may also import their own organisms, networks, and expression profiles. The app is compatible with Cytoscape versions 2 and 3. F1000Research 2014-07-01 /pmc/articles/PMC4168749/ /pubmed/25254104 http://dx.doi.org/10.12688/f1000research.4572.1 Text en Copyright: © 2014 Montojo J et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. http://creativecommons.org/publicdomain/zero/1.0/ Data associated with the article are available under the terms of the Creative Commons Zero "No rights reserved" data waiver (CC0 1.0 Public domain dedication).
spellingShingle Software Tool
Montojo, Jason
Zuberi, Khalid
Rodriguez, Harold
Bader, Gary D.
Morris, Quaid
GeneMANIA: Fast gene network construction and function prediction for Cytoscape
title GeneMANIA: Fast gene network construction and function prediction for Cytoscape
title_full GeneMANIA: Fast gene network construction and function prediction for Cytoscape
title_fullStr GeneMANIA: Fast gene network construction and function prediction for Cytoscape
title_full_unstemmed GeneMANIA: Fast gene network construction and function prediction for Cytoscape
title_short GeneMANIA: Fast gene network construction and function prediction for Cytoscape
title_sort genemania: fast gene network construction and function prediction for cytoscape
topic Software Tool
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4168749/
https://www.ncbi.nlm.nih.gov/pubmed/25254104
http://dx.doi.org/10.12688/f1000research.4572.1
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