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DAtA: database of Arabidopsis thaliana annotation
C J Palm1, N A Federspiel, R W Davis
1Stanford DNA Sequencing and Technology Center, 855 California Avenue, Palo Alto, CA 94304, USA. curtis@sequence.stanford.edu
Nucleic Acids Research
|December 11, 1999
Summary
The Database of Arabidopsis thaliana Annotation (D At A) provides integrated access to A. thaliana genome data. This resource aids researchers in analyzing gene functions and protein characteristics for the model plant Arabidopsis.
Area of Science:
- Genomics
- Bioinformatics
- Plant Biology
Background:
- The Arabidopsis genome project has generated extensive sequence data.
- Efficient access and analysis of this annotation data are crucial for research.
- Existing resources may lack comprehensive integration of genomic and protein information.
Purpose of the Study:
- To create a centralized database for Arabidopsis thaliana genome annotation.
- To facilitate easy access and analysis of genomic and protein data.
- To support research on gene function and protein characteristics in Arabidopsis.
Main Methods:
- Utilized completed Arabidopsis thaliana genomic sequence data from GenBank.
- Implemented an automated annotation process to predict coding sequences.
- Integrated protein motif and similarity data through database searches.
Main Results:
- Developed the Database of Arabidopsis thaliana Annotation (D At A).
- D At A includes predicted coding sequences, protein motifs, and similarities.
- The database is routinely updated with new genomic submissions and search results.
Conclusions:
- D At A offers a valuable, web-accessible resource for Arabidopsis research.
- The database simplifies the analysis of Arabidopsis genomic and protein information.
- Facilitates discovery in plant genomics and functional analysis.
Keywords:
Non-programmatic