AnnotQTL: a new tool to gather functional and comparative information on a genomic region
2011
Lecerc, Frédéric | Bretaudeau, Anthony | Sallou, Olivier | Désert, Colette | Blum, Yuna | Lagarrigue, Sandrine | Demeure, Olivier | Génétique Animale (GARen) ; Institut National de la Recherche Agronomique (INRA)-AGROCAMPUS OUEST-Ecole Nationale Supérieure Agronomique de Rennes | Biological systems and models, bioinformatics and sequences (SYMBIOSE) ; Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA) ; Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes) ; Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes) ; Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-Centre Inria de l'Université de Rennes ; Institut National de Recherche en Informatique et en Automatique (Inria) | INRA, Agrocampus Ouest, the Regional Council of Brittany; French Ministry in charge of Agriculture (DGER). Funding for open access charge: INRA.
Chantier qualité GA
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Show more [+] Less [-]English. AnnotQTL is a web tool designed to aggregate functional annotations from different prominent web sites by minimizing the redundancy of information. Although thousands of QTL regions have been identified in livestock species, most of them are large and contain many genes. This tool was therefore designed to assist the characterization of genes in a QTL interval region as a step towards selecting the best candidate genes. It localizes the gene to a specific region (using NCBI and Ensembl data) and adds the functional annotations available from other databases (Gene Ontology, Mammalian Phenotype, HGNC and Pubmed). Both human genome and mouse genome can be aligned with the studied region to detect synteny and segment conservation, which is useful for running inter-species comparisons of QTL locations. Finally, custom marker lists can be included in the results display to select the genes that are closest to your most significant markers. We use examples to demonstrate that in just a couple of hours, AnnotQTL is able to identify all the genes located in regions identified by a full genome scan, with some highlighted based on both location and function, thus considerably increasing the chances of finding good candidate genes. AnnotQTL is available at http://annotqtl.genouest.org.
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