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GeneCAT—novel webtools that combine BLAST and co-expression analyses

The gene co-expression analysis toolbox (GeneCAT) introduces several novel microarray data analyzing tools. First, the multigene co-expression analysis, combined with co-expressed gene networks, provides a more powerful data mining technique than standard, single-gene co-expression analysis. Second,...

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Detalles Bibliográficos
Autores principales: Mutwil, Marek, Øbro, Jens, Willats, William G. T., Persson, Staffan
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2447783/
https://www.ncbi.nlm.nih.gov/pubmed/18480120
http://dx.doi.org/10.1093/nar/gkn292
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author Mutwil, Marek
Øbro, Jens
Willats, William G. T.
Persson, Staffan
author_facet Mutwil, Marek
Øbro, Jens
Willats, William G. T.
Persson, Staffan
author_sort Mutwil, Marek
collection PubMed
description The gene co-expression analysis toolbox (GeneCAT) introduces several novel microarray data analyzing tools. First, the multigene co-expression analysis, combined with co-expressed gene networks, provides a more powerful data mining technique than standard, single-gene co-expression analysis. Second, the high-throughput Map-O-Matic tool matches co-expression pattern of multiple query genes to genes present in user-defined subdatabases, and can therefore be used for gene mapping in forward genetic screens. Third, Rosetta combines co-expression analysis with BLAST and can be used to find ‘true’ gene orthologs in the plant model organisms Arabidopsis thaliana and Hordeum vulgare (Barley). GeneCAT is equipped with expression data for the model plant A. thaliana, and first to introduce co-expression mining tools for the monocot Barley. GeneCAT is available at http://genecat.mpg.de
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spelling pubmed-24477832008-07-09 GeneCAT—novel webtools that combine BLAST and co-expression analyses Mutwil, Marek Øbro, Jens Willats, William G. T. Persson, Staffan Nucleic Acids Res Articles The gene co-expression analysis toolbox (GeneCAT) introduces several novel microarray data analyzing tools. First, the multigene co-expression analysis, combined with co-expressed gene networks, provides a more powerful data mining technique than standard, single-gene co-expression analysis. Second, the high-throughput Map-O-Matic tool matches co-expression pattern of multiple query genes to genes present in user-defined subdatabases, and can therefore be used for gene mapping in forward genetic screens. Third, Rosetta combines co-expression analysis with BLAST and can be used to find ‘true’ gene orthologs in the plant model organisms Arabidopsis thaliana and Hordeum vulgare (Barley). GeneCAT is equipped with expression data for the model plant A. thaliana, and first to introduce co-expression mining tools for the monocot Barley. GeneCAT is available at http://genecat.mpg.de Oxford University Press 2008-07-01 2008-05-14 /pmc/articles/PMC2447783/ /pubmed/18480120 http://dx.doi.org/10.1093/nar/gkn292 Text en © 2008 The Author(s) 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/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Articles
Mutwil, Marek
Øbro, Jens
Willats, William G. T.
Persson, Staffan
GeneCAT—novel webtools that combine BLAST and co-expression analyses
title GeneCAT—novel webtools that combine BLAST and co-expression analyses
title_full GeneCAT—novel webtools that combine BLAST and co-expression analyses
title_fullStr GeneCAT—novel webtools that combine BLAST and co-expression analyses
title_full_unstemmed GeneCAT—novel webtools that combine BLAST and co-expression analyses
title_short GeneCAT—novel webtools that combine BLAST and co-expression analyses
title_sort genecat—novel webtools that combine blast and co-expression analyses
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2447783/
https://www.ncbi.nlm.nih.gov/pubmed/18480120
http://dx.doi.org/10.1093/nar/gkn292
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