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GeneMANIA Cytoscape plugin: fast gene function predictions on the desktop
Summary: The GeneMANIA Cytoscape plugin brings fast gene function prediction capabilities to the desktop. GeneMANIA identifies the most related genes to a query gene set using a guilt-by-association approach. The plugin uses over 800 networks from six organisms and each related gene is traceable to...
Autores principales: | , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2010
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2971582/ https://www.ncbi.nlm.nih.gov/pubmed/20926419 http://dx.doi.org/10.1093/bioinformatics/btq562 |
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author | Montojo, J. Zuberi, K. Rodriguez, H. Kazi, F. Wright, G. Donaldson, S. L. Morris, Q. Bader, G. D. |
author_facet | Montojo, J. Zuberi, K. Rodriguez, H. Kazi, F. Wright, G. Donaldson, S. L. Morris, Q. Bader, G. D. |
author_sort | Montojo, J. |
collection | PubMed |
description | Summary: The GeneMANIA Cytoscape plugin brings fast gene function prediction capabilities to the desktop. GeneMANIA identifies the most related genes to a query gene set using a guilt-by-association approach. The plugin uses over 800 networks from six organisms and each related gene is traceable to the source network used to make the prediction. Users may add their own interaction networks and expression profile data to complement or override the default data. Availability and Implementation: The GeneMANIA Cytoscape plugin is implemented in Java and is freely available at http://www.genemania.org/plugin/. Contact: gary.bader@utoronto.ca; quaid.morris@utoronto.ca |
format | Text |
id | pubmed-2971582 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-29715822010-11-04 GeneMANIA Cytoscape plugin: fast gene function predictions on the desktop Montojo, J. Zuberi, K. Rodriguez, H. Kazi, F. Wright, G. Donaldson, S. L. Morris, Q. Bader, G. D. Bioinformatics Applications Note Summary: The GeneMANIA Cytoscape plugin brings fast gene function prediction capabilities to the desktop. GeneMANIA identifies the most related genes to a query gene set using a guilt-by-association approach. The plugin uses over 800 networks from six organisms and each related gene is traceable to the source network used to make the prediction. Users may add their own interaction networks and expression profile data to complement or override the default data. Availability and Implementation: The GeneMANIA Cytoscape plugin is implemented in Java and is freely available at http://www.genemania.org/plugin/. Contact: gary.bader@utoronto.ca; quaid.morris@utoronto.ca Oxford University Press 2010-11-15 2010-10-05 /pmc/articles/PMC2971582/ /pubmed/20926419 http://dx.doi.org/10.1093/bioinformatics/btq562 Text en © The Author(s) 2010. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/2.0/uk/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.5), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Applications Note Montojo, J. Zuberi, K. Rodriguez, H. Kazi, F. Wright, G. Donaldson, S. L. Morris, Q. Bader, G. D. GeneMANIA Cytoscape plugin: fast gene function predictions on the desktop |
title | GeneMANIA Cytoscape plugin: fast gene function predictions on the desktop |
title_full | GeneMANIA Cytoscape plugin: fast gene function predictions on the desktop |
title_fullStr | GeneMANIA Cytoscape plugin: fast gene function predictions on the desktop |
title_full_unstemmed | GeneMANIA Cytoscape plugin: fast gene function predictions on the desktop |
title_short | GeneMANIA Cytoscape plugin: fast gene function predictions on the desktop |
title_sort | genemania cytoscape plugin: fast gene function predictions on the desktop |
topic | Applications Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2971582/ https://www.ncbi.nlm.nih.gov/pubmed/20926419 http://dx.doi.org/10.1093/bioinformatics/btq562 |
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