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Updated: Jul 10, 2026
08:09
Annotation of Plant Gene Function via Combined Genomics, Metabolomics and Informatics
Published on: June 17, 2012
The Arabidopsis Information Resource (TAIR): gene structure and function annotation
David Swarbreck1, Christopher Wilks, Philippe Lamesch
1Carnegie Institution, Department of Plant Biology, 260 Panama St, Stanford, CA 94305, USA. dswarbreck@stanford.edu
Nucleic Acids Research
|November 8, 2007
Summary
The Arabidopsis Information Resource (TAIR) database has released its latest genome annotation (TAIR7), featuring over 32,000 genes for the model plant Arabidopsis thaliana. This update enhances data accessibility for researchers studying plant genomics.
Area of Science:
- Plant Genomics
- Bioinformatics
- Model Organism Databases
Background:
- The Arabidopsis Information Resource (TAIR) is a primary database for Arabidopsis thaliana research.
- TAIR curates data from scientific literature and community submissions.
- Arabidopsis thaliana is a well-studied model organism in plant science.
Purpose of the Study:
- To announce the release of the TAIR7 genome annotation.
- To detail improvements in the TAIR website and data accessibility.
- To provide an updated inventory of Arabidopsis thaliana genes and related elements.
Main Methods:
- Manual curation of scientific literature.
- Direct data submissions from the research community.
- Combination of manual and computational methods for genome annotation.
Main Results:
- TAIR7 release includes 32,041 genes (27,029 protein-coding, 3889 pseudogenes/transposable elements, 1123 ncRNAs).
- 37,019 gene models are present in the TAIR7 release.
- 681 new genes and 1002 new splice variants were added.
- 10,098 loci were updated from the previous TAIR6 release.
Conclusions:
- The TAIR7 release significantly expands and refines the genomic information available for Arabidopsis thaliana.
- New website features, including GBrowse and redesigned navigation, improve user experience.
- Enhanced data resources support ongoing research in plant biology and genomics.
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