Evidence map›Paper›PMID 15608279›Full record

ArticleNucleic acids research2005

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

Sébastien Aubourg, Véronique Brunaud, Clémence Bruyère, Mark Cock, Richard Cooke, Annick Cottet, Arnaud Couloux, Patrice Déhais, Gilbert Deléage, Aymeric Duclert and 33 more

Abstract read
In one paragraph

Article in Nucleic acids research, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

43 authors.

Sébastien AubourgUnité de Recherche en Génomique Végétale (INRA/CNRS/UEVE) 2 Rue Gaston Crémieux, CP 5708, 91057 Evry Cedex, France. aubourg@evry.inra.fr
Véronique Brunaud
Clémence Bruyère
Mark Cock
Richard Cooke
Annick Cottet
Arnaud Couloux
Patrice Déhais
Gilbert Deléage
Aymeric Duclert
Manuel Echeverria
Aimée Eschbach
Denis Falconet
Ghislain Filippi
Christine Gaspin
Christophe Geourjon
Jean-Michel Grienenberger
Guy Houlné
Elisabeth Jamet
Frédéric Lechauve
Olivier Leleu
Philippe Leroy
Régis Mache
Christian Meyer
Hafed Nedjari
Ioan Negrutiu
Valérie Orsini
Eric Peyretaillade
Cyril Pommier
Jeroen Raes
Jean-Loup Risler
Stéphane Rivière
Stéphane Rombauts
Pierre Rouzé
Michel Schneider
Philippe Schwob
Ian Small
Ghislain Soumayet-Kampetenga
Darko Stankovski
Claire Toffano
Michael Tognolli
Michel Caboche
Alain Lecharny

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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 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.

Indexed as

Databases, GeneticGenes, PlantArabidopsisArabidopsis ProteinsPhilosophySystems IntegrationUser-Computer InterfaceArabidopsis Proteins

Identifiers

PMID15608279
PMCPMC540069

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.