Poster: Genomics Resources

Abs # 957: New tools and data at TAIR

Presenter:	Huala, Eva , huala@acoma.stanford.edu
Authors	Huala, Eva  (A)   Reiser, Leonore  (A)   Zhang, Peifen  (A)   Mueller, Lukas A. (A)   Garcia-Hernandez, Margarita  (A)   Weems, Dan C. (B)   Xu, Iris  (A)   Yoo, Daniel  (A)   Yoon, Jongwon  (A)   Chen, Guanghong  (B)   Lander, Gabriel  (A)   Moseyko, Nick  (A)   Miller, Neil  (B)   Crist, Debbie  (C)   Knee, Emma  (C)   Scholl, Randy  (C)   Berardini, Tanya  (A)   Mundodi, Suparna  (A)   Tacklind, Julie  (A)   Rhee, Seung Y. (A)
Affiliations:	(A): TAIR, Carnegie Institution of Washington (B): National Center for Genome Resources (C): Arabidopsis Biological Resoource Center
Web Site:	http://www.arabidopsis.org

The Arabidopsis Information Resource (TAIR) (www.arabidopsis.org) presents researchers with a comprehensive data resource, integrating many types of data including information on genes, maps, clones, seed and DNA stocks, biochemical pathways, community members and literature. We have recently added T-DNA and transposon insertions to the TAIR Sequence Viewer, which also displays genes, clones, ESTs, full-length cDNAs, genetic markers and polymorphisms on a searchable and zoomable map of the Arabidopsis genome. We have also added a simple chromosome map tool that can be used to draw custom maps of the Arabidopsis genome using a list of locus names. In addition, we recently introduced a polymorphism and allele search tool that allows searching by gene or locus name, mutagen, or polymorphism type and can be used to find SNPs, T-DNAs and deletions, and a germplasm search tool for locating T-DNA, transposon insertion and TILLing lines, ecotypes, transgenic lines and mapping strains. TAIR’s current efforts are focused in part on literature-based annotation of Arabidopsis genes using the structured vocabulary developed in collaboration with other database groups, including the Gene Ontology (GO) Consortium and the Plant Ontology Consortium. Another area currently under development is the incorporation of microarray expression data into TAIR, with the goal of facilitating access to researchers’ expression-profiling data about any Arabidopsis gene that has been arrayed. Expression data will soon be searchable using gene, RNA source, expression level, and experimenter information as search parameters. In addition, experiments will be available in a browsable format and raw, processed, and summary data will be made available for downloading.