Title: GeneFarm, structural and functional annotation of Arabidopsis gene and protein families by a network of experts
Authors: 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 #
Issue Date: Jan-2005
Publisher: Oxford University Press
Series Title: Nucleic Acids Research vol:33 pages:D641-D646
Abstract: 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 Furthermore, collaboration with the Swiss Institute of Bioinformatics is underway to integrate the GeneFarm data into the protein knowledgebase Swiss-Prot.
ISSN: 0305-1048
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Non-KU Leuven Association publications
× corresponding author
# (joint) last author

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