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Nucleic Acids Research Advance Access published online on May 25, 2007

Nucleic Acids Research, doi:10.1093/nar/gkm321
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© 2007 The Author(s)
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.


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KAAS: an automatic genome annotation and pathway reconstruction server

Yuki Moriya*, Masumi Itoh, Shujiro Okuda, Akiyasu C. Yoshizawa and Minoru Kanehisa

Bioinformatics Center, Institute for Chemical Research, Kyoto University, Gokasho, Uji, Kyoto 611-0011, Japan

*To whom Correspondence should be addressed. Tel: +81 774 38 3270; Fax: +81 774 38 3269; Email: moriya{at}kuicr.kyoto-u.ac.jp

Received January 30, 2007. Revised March 31, 2007. Accepted April 17, 2007.

The number of complete and draft genomes is rapidly growing in recent years, and it has become increasingly important to automate the identification of functional properties and biological roles of genes in these genomes. In the KEGG database, genes in complete genomes are annotated with the KEGG orthology (KO) identifiers, or the K numbers, based on the best hit information using Smith–Waterman scores as well as by the manual curation. Each K number represents an ortholog group of genes, and it is directly linked to an object in the KEGG pathway map or the BRITE functional hierarchy. Here, we have developed a web-based server called KAAS (KEGG Automatic Annotation Server: http://www.genome.jp/kegg/kaas/) i.e. an implementation of a rapid method to automatically assign K numbers to genes in the genome, enabling reconstruction of KEGG pathways and BRITE hierarchies. The method is based on sequence similarities, bi-directional best hit information and some heuristics, and has achieved a high degree of accuracy when compared with the manually curated KEGG GENES database.


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