WWW KEGG
KEGG |
URL
http://www.genome.jp/kegg-bin/show_pathway?sce04111
Abstract
The Kyoto Encyclopedia of Genes and Genomes (KEGG) is a deeply curated resource that integrates genomic, chemical and systemic functional information. Regrettably, ftp access to this resource is no longer free and personal-use academic licenses outside of Japan are required to purchase a license at the cost of USD 2,000 per year (as per January 2012) from a non-profit organization, founded to ensure the long-term survival of the database. (Read here about the background that explains how public funding is falling short of sustainable levels, thus jeopardizing the ongoing curation and software development activities - and thereby the entire investment into the resource). As of now, use of the Web resources is not to affected. KEGG contains several sections of systems-, genome- and small molecule related information. See here for an overview. The URL links to the pathway map of the yeast cell-cycle.
Reference
| Kanehisa et al. (2012) KEGG for integration and interpretation of large-scale molecular data sets. Nucleic Acids Res 40:D109-14. (pmid: 22080510) |
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[ PubMed ] [ DOI ] Kyoto Encyclopedia of Genes and Genomes (KEGG, http://www.genome.jp/kegg/ or http://www.kegg.jp/) is a database resource that integrates genomic, chemical and systemic functional information. In particular, gene catalogs from completely sequenced genomes are linked to higher-level systemic functions of the cell, the organism and the ecosystem. Major efforts have been undertaken to manually create a knowledge base for such systemic functions by capturing and organizing experimental knowledge in computable forms; namely, in the forms of KEGG pathway maps, BRITE functional hierarchies and KEGG modules. Continuous efforts have also been made to develop and improve the cross-species annotation procedure for linking genomes to the molecular networks through the KEGG Orthology system. Here we report KEGG Mapper, a collection of tools for KEGG PATHWAY, BRITE and MODULE mapping, enabling integration and interpretation of large-scale data sets. We also report a variant of the KEGG mapping procedure to extend the knowledge base, where different types of data and knowledge, such as disease genes and drug targets, are integrated as part of the KEGG molecular networks. Finally, we describe recent enhancements to the KEGG content, especially the incorporation of disease and drug information used in practice and in society, to support translational bioinformatics. |
