KAAS: an automatic genome annotation and pathway reconstruction server

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ID: 289731
2007
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Abstract
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.
Reference Key
openalex_W2133579817 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Yuki Moriya, Masumi Itoh, Shujiro Okuda, Akiyasu C. Yoshizawa, Minoru Kanehisa
Journal Nucleic Acids Research
Year 2007
DOI
10.1093/nar/gkm321
URL
https://academic.oup.com/nar/article-pdf/35/suppl_2/W182/9584760/gkm321.pdf
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