KEGG for integration and interpretation of large-scale molecular data sets

被引:4053
作者
Kanehisa, Minoru [1 ,2 ]
Goto, Susumu [1 ]
Sato, Yoko [3 ]
Furumichi, Miho [1 ]
Tanabe, Mao [1 ]
机构
[1] Kyoto Univ, Inst Chem Res, Bioinformat Ctr, Kyoto 6110011, Japan
[2] Univ Tokyo, Inst Med Sci, Ctr Human Genome, Minato Ku, Tokyo 1088639, Japan
[3] Fujitsu Kyushu Syst Ltd, Life Sci Solut Dept, Sawara Ku, Fukuoka 8148589, Japan
基金
日本科学技术振兴机构;
关键词
D O I
10.1093/nar/gkr988
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
070307 [化学生物学]; 071010 [生物化学与分子生物学];
摘要
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.
引用
收藏
页码:D109 / D114
页数:6
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