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GeneFarm, structural and functional annotation of Arabidopsis gene and protein families by a network of experts

Genomic projects heavily depend on genome annotations and are limited by the current deficiencies in the published predictions of gene structure and function. It follows that, improved annotation will allow better data mining of genomes, and more secure planning and design of experiments. The purpos...

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Autores principales: Aubourg, Sébastien, Brunaud, Véronique, Bruyère, Clémence, Cock, Mark, Cooke, Richard, Cottet, Annick, Couloux, Arnaud, Déhais, Patrice, Deléage, Gilbert, Duclert, Aymeric, Echeverria, Manuel, Eschbach, Aimée, Falconet, Denis, Filippi, Ghislain, Gaspin, Christine, Geourjon, Christophe, Grienenberger, Jean-Michel, Houlné, Guy, Jamet, Elisabeth, Lechauve, Frédéric, Leleu, Olivier, Leroy, Philippe, Mache, Régis, Meyer, Christian, Nedjari, Hafed, Negrutiu, Ioan, Orsini, Valérie, Peyretaillade, Eric, Pommier, Cyril, Raes, Jeroen, Risler, Jean-Loup, Rivière, Stéphane, Rombauts, Stéphane, Rouzé, Pierre, Schneider, Michel, Schwob, Philippe, Small, Ian, Soumayet-Kampetenga, Ghislain, Stankovski, Darko, Toffano, Claire, Tognolli, Michael, Caboche, Michel, Lecharny, Alain
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2005
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC540069/
https://www.ncbi.nlm.nih.gov/pubmed/15608279
http://dx.doi.org/10.1093/nar/gki115
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author Aubourg, Sébastien
Brunaud, Véronique
Bruyère, Clémence
Cock, Mark
Cooke, Richard
Cottet, Annick
Couloux, Arnaud
Déhais, Patrice
Deléage, Gilbert
Duclert, Aymeric
Echeverria, Manuel
Eschbach, Aimée
Falconet, Denis
Filippi, Ghislain
Gaspin, Christine
Geourjon, Christophe
Grienenberger, Jean-Michel
Houlné, Guy
Jamet, Elisabeth
Lechauve, Frédéric
Leleu, Olivier
Leroy, Philippe
Mache, Régis
Meyer, Christian
Nedjari, Hafed
Negrutiu, Ioan
Orsini, Valérie
Peyretaillade, Eric
Pommier, Cyril
Raes, Jeroen
Risler, Jean-Loup
Rivière, Stéphane
Rombauts, Stéphane
Rouzé, Pierre
Schneider, Michel
Schwob, Philippe
Small, Ian
Soumayet-Kampetenga, Ghislain
Stankovski, Darko
Toffano, Claire
Tognolli, Michael
Caboche, Michel
Lecharny, Alain
author_facet Aubourg, Sébastien
Brunaud, Véronique
Bruyère, Clémence
Cock, Mark
Cooke, Richard
Cottet, Annick
Couloux, Arnaud
Déhais, Patrice
Deléage, Gilbert
Duclert, Aymeric
Echeverria, Manuel
Eschbach, Aimée
Falconet, Denis
Filippi, Ghislain
Gaspin, Christine
Geourjon, Christophe
Grienenberger, Jean-Michel
Houlné, Guy
Jamet, Elisabeth
Lechauve, Frédéric
Leleu, Olivier
Leroy, Philippe
Mache, Régis
Meyer, Christian
Nedjari, Hafed
Negrutiu, Ioan
Orsini, Valérie
Peyretaillade, Eric
Pommier, Cyril
Raes, Jeroen
Risler, Jean-Loup
Rivière, Stéphane
Rombauts, Stéphane
Rouzé, Pierre
Schneider, Michel
Schwob, Philippe
Small, Ian
Soumayet-Kampetenga, Ghislain
Stankovski, Darko
Toffano, Claire
Tognolli, Michael
Caboche, Michel
Lecharny, Alain
author_sort Aubourg, Sébastien
collection PubMed
description Genomic projects heavily depend on genome annotations and are limited by the current deficiencies in the published predictions of gene structure and function. It follows that, improved annotation will allow better data mining of genomes, and more secure planning and design of experiments. The purpose of the GeneFarm project is to obtain homogeneous, reliable, documented and traceable annotations for Arabidopsis nuclear genes and gene products, and to enter them into an added-value database. This re-annotation project is being performed exhaustively on every member of each gene family. Performing a family-wide annotation makes the task easier and more efficient than a gene-by-gene approach since many features obtained for one gene can be extrapolated to some or all the other genes of a family. A complete annotation procedure based on the most efficient prediction tools available is being used by 16 partner laboratories, each contributing annotated families from its field of expertise. A database, named GeneFarm, and an associated user-friendly interface to query the annotations have been developed. More than 3000 genes distributed over 300 families have been annotated and are available at http://genoplante-info.infobiogen.fr/Genefarm/. Furthermore, collaboration with the Swiss Institute of Bioinformatics is underway to integrate the GeneFarm data into the protein knowledgebase Swiss-Prot.
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spelling pubmed-5400692005-01-04 GeneFarm, structural and functional annotation of Arabidopsis gene and protein families by a network of experts Aubourg, Sébastien Brunaud, Véronique Bruyère, Clémence Cock, Mark Cooke, Richard Cottet, Annick Couloux, Arnaud Déhais, Patrice Deléage, Gilbert Duclert, Aymeric Echeverria, Manuel Eschbach, Aimée Falconet, Denis Filippi, Ghislain Gaspin, Christine Geourjon, Christophe Grienenberger, Jean-Michel Houlné, Guy Jamet, Elisabeth Lechauve, Frédéric Leleu, Olivier Leroy, Philippe Mache, Régis Meyer, Christian Nedjari, Hafed Negrutiu, Ioan Orsini, Valérie Peyretaillade, Eric Pommier, Cyril Raes, Jeroen Risler, Jean-Loup Rivière, Stéphane Rombauts, Stéphane Rouzé, Pierre Schneider, Michel Schwob, Philippe Small, Ian Soumayet-Kampetenga, Ghislain Stankovski, Darko Toffano, Claire Tognolli, Michael Caboche, Michel Lecharny, Alain Nucleic Acids Res Articles Genomic projects heavily depend on genome annotations and are limited by the current deficiencies in the published predictions of gene structure and function. It follows that, improved annotation will allow better data mining of genomes, and more secure planning and design of experiments. The purpose of the GeneFarm project is to obtain homogeneous, reliable, documented and traceable annotations for Arabidopsis nuclear genes and gene products, and to enter them into an added-value database. This re-annotation project is being performed exhaustively on every member of each gene family. Performing a family-wide annotation makes the task easier and more efficient than a gene-by-gene approach since many features obtained for one gene can be extrapolated to some or all the other genes of a family. A complete annotation procedure based on the most efficient prediction tools available is being used by 16 partner laboratories, each contributing annotated families from its field of expertise. A database, named GeneFarm, and an associated user-friendly interface to query the annotations have been developed. More than 3000 genes distributed over 300 families have been annotated and are available at http://genoplante-info.infobiogen.fr/Genefarm/. Furthermore, collaboration with the Swiss Institute of Bioinformatics is underway to integrate the GeneFarm data into the protein knowledgebase Swiss-Prot. Oxford University Press 2005-01-01 2004-12-17 /pmc/articles/PMC540069/ /pubmed/15608279 http://dx.doi.org/10.1093/nar/gki115 Text en Copyright © 2005 Oxford University Press
spellingShingle Articles
Aubourg, Sébastien
Brunaud, Véronique
Bruyère, Clémence
Cock, Mark
Cooke, Richard
Cottet, Annick
Couloux, Arnaud
Déhais, Patrice
Deléage, Gilbert
Duclert, Aymeric
Echeverria, Manuel
Eschbach, Aimée
Falconet, Denis
Filippi, Ghislain
Gaspin, Christine
Geourjon, Christophe
Grienenberger, Jean-Michel
Houlné, Guy
Jamet, Elisabeth
Lechauve, Frédéric
Leleu, Olivier
Leroy, Philippe
Mache, Régis
Meyer, Christian
Nedjari, Hafed
Negrutiu, Ioan
Orsini, Valérie
Peyretaillade, Eric
Pommier, Cyril
Raes, Jeroen
Risler, Jean-Loup
Rivière, Stéphane
Rombauts, Stéphane
Rouzé, Pierre
Schneider, Michel
Schwob, Philippe
Small, Ian
Soumayet-Kampetenga, Ghislain
Stankovski, Darko
Toffano, Claire
Tognolli, Michael
Caboche, Michel
Lecharny, Alain
GeneFarm, structural and functional annotation of Arabidopsis gene and protein families by a network of experts
title GeneFarm, structural and functional annotation of Arabidopsis gene and protein families by a network of experts
title_full GeneFarm, structural and functional annotation of Arabidopsis gene and protein families by a network of experts
title_fullStr GeneFarm, structural and functional annotation of Arabidopsis gene and protein families by a network of experts
title_full_unstemmed GeneFarm, structural and functional annotation of Arabidopsis gene and protein families by a network of experts
title_short GeneFarm, structural and functional annotation of Arabidopsis gene and protein families by a network of experts
title_sort genefarm, structural and functional annotation of arabidopsis gene and protein families by a network of experts
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC540069/
https://www.ncbi.nlm.nih.gov/pubmed/15608279
http://dx.doi.org/10.1093/nar/gki115
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