The Arabidopsis Information Resource (TAIR): improved gene annotation and new tools

Philippe Lamesch(Carnegie Institution for Science), Tanya Berardini(Carnegie Institution for Science), Donghui Li(Carnegie Institution for Science), David Swarbreck(Carnegie Institution for Science), Christopher Wilks(Carnegie Institution for Science), Rajkumar Sasidharan(Carnegie Institution for Science), Robert Müller(Carnegie Institution for Science), Kate Dreher(Carnegie Institution for Science), Debbie L. Alexander(Carnegie Institution for Science), M. Garcia-Hernandez(Carnegie Institution for Science), Athikkattuvalasu S. Karthikeyan(Carnegie Institution for Science), Cynthia H. Lee(Carnegie Institution for Science), William D. Nelson(Carnegie Institution for Science), L. Ploetz(Carnegie Institution for Science), Shanker K. Singh(Carnegie Institution for Science), April Wensel(Carnegie Institution for Science), Eva Huala(Carnegie Institution for Science)
Nucleic Acids Research
December 2, 2011
Cited by 2,557Open Access
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Abstract

The Arabidopsis Information Resource (TAIR, http://arabidopsis.org) is a genome database for Arabidopsis thaliana, an important reference organism for many fundamental aspects of biology as well as basic and applied plant biology research. TAIR serves as a central access point for Arabidopsis data, annotates gene function and expression patterns using controlled vocabulary terms, and maintains and updates the A. thaliana genome assembly and annotation. TAIR also provides researchers with an extensive set of visualization and analysis tools. Recent developments include several new genome releases (TAIR8, TAIR9 and TAIR10) in which the A. thaliana assembly was updated, pseudogenes and transposon genes were re-annotated, and new data from proteomics and next generation transcriptome sequencing were incorporated into gene models and splice variants. Other highlights include progress on functional annotation of the genome and the release of several new tools including Textpresso for Arabidopsis which provides the capability to carry out full text searches on a large body of research literature.


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