Japan Agricultural Research Quarterly: JARQ
Online ISSN : 2185-8896
Print ISSN : 0021-3551
ISSN-L : 0021-3551
Biotechnology
A Bioinformatics Resource for Crop Functional Genomics
GFSelector Module in Automated Annotation System, RiceGAAS
Katsumi SAKATAHiroshi IKAWAHiroyuki WATANABEIkuo ASHIKAWAYuji SHIMIZUIkuo HORIUCHIBaltazar A. ANTONIOHisataka NUMAYoshiaki NAGAMURATakashi MATSUMOTO
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2009 Volume 43 Issue 2 Pages 103-113

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Abstract
GFSelector (Gene Function Selector, http://alnilam.mi.mss.co.jp/rgadb/) has been developed to perform computational classification of gene models and assignment of unique biological function. It has been incorporated in RiceGAAS (http://ricegaas.dna.affrc.go.jp/usr/) which was designed to provide an analysis pipeline for user submitted genome sequences and comprehensive database for all rice gene models. The combined system facilitates accurate modelling of predicted rice genes, classification of gene structure, and assigning of function and GO (gene ontology) terms to the gene models. The reliability and accuracy are enhanced by integrating several reference databases into the system and generating multiple candidates for determining the function of the gene models. The pipeline is also fully automated thereby facilitating regularly updates of the rice gene models using the latest reference databases. Annotation of soybean, wheat and banana BAC (bacterial artificial chromosome) sequences was performed to test the applicability of the pipeline to other crops. As compared with the GenBank CDS (coding sequence) features, more than 83% of nucleotide-level sensitivity was obtained for the gene modelling by the pipeline. It was also confirmed that 95% of functional annotation by the pipeline was nearly equal or better than the corresponding GenBank CDS feature.
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© 2009 Japan International Research Center for Agricultural Sciences
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