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Poster: Bioinformatics

Abs # 856: Le Cadavre Exquis and Functional Annotation of the Arabidopsis Genome.

Presenter: Reiser, Leonore , lreiser@acoma.stanford.edu
AuthorsReiser, Leonore  (A)   Berardini, Tanya  (A)   Crist, Debbie  (C)   Huala, Eva  (A)   Knee, Emma  (C)   Miller, Neil  (B)   Montoya, Mary  (B)   Moyseko, Nick  (A)   Mundodi, Suparna  (A)   Scholl, Randy  (C)   Tacklind, Julie  (A)   Weems, Dan  (B)   Xu, Iris  (A)   Yan, Thomas  (A)   Yoo, Daniel  (A)   Zhang, Jessie Ciu  (A)   Zhang, Peifen  (A)   Zoeckler, Brandon  (A)   Rhee, Seung Yon  (A)  
Affiliations: (A): Carnegie Institution,Department of Plant Biology
(B): National Center for Genome Resources
(C): The Ohio State University
Web Site:http://www.arabidopsis.org

The Arabidopsis Information Resource (TAIR,arabidopsis.org) is web-based database for Arabidopsis thaliana. TAIR provides integrated views of genes,sequences,proteins,germplasms,clones,metabolic pathways,gene expression,ecotypes,polymorphisms,publications, maps and community information. In the last 2 years we focused on describing the functions of the ca.29,000 genes identified from the genome sequence in a systematic, reliable and accessible way. Our goal is to associate all gene products with terms developed by the Gene Ontology (GO)Consortium (geneontology.org)that describe their molecular function, biological process, and subcellular location. We have also begun annotating with expression data using defined terms describing Arabidopsis anatomy and developmental stages. As of January 2004, we have used computational and manual methods to make 63,500 annotations representing 20,513 loci. We have defined standards and methods to ensure robust annotations and provide a mechanism to easily assess annotation quality. Each annotation is tagged with a combination of evidence code, evidence description and reference. Manual annotations are made by trained Ph.D. level biologists and experimental data from the literature are used as a primary source. PubSearch software (pubsearch.org) facilitates data tracking and curator consistency checking. We encourage researchers to contribute functional annotations of genes they study(arabidopsis.org/info/functional_annotation.submission.jsp),and alert us to errors by email (curator@arabidopsis.org). Annotation of Arabidopsis will allow quantitative comparisons of sets of genes derived from sources such as microarray clusters. It can also facilitate gene discovery in other species by transfer of annotations to homologous genes.

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