Suppr超能文献

KEGG 用于整合和解释大规模分子数据集。

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

机构信息

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

出版信息

Nucleic Acids Res. 2012 Jan;40(Database issue):D109-14. doi: 10.1093/nar/gkr988. Epub 2011 Nov 10.

Abstract

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.

摘要

京都基因与基因组百科全书(KEGG,http://www.genome.jp/kegg/或http://www.kegg.jp/)是一个整合基因组、化学和系统功能信息的数据库资源。特别是,来自完全测序基因组的基因目录与细胞、生物体和生态系统的更高层次的系统功能相关联。已经做出了重大努力,通过捕获和组织可计算形式的实验知识,即通过 KEGG 途径图、BRITE 功能层次结构和 KEGG 模块,手动创建此类系统功能的知识库。还一直在努力开发和改进跨物种注释程序,通过 KEGG Orthology 系统将基因组与分子网络联系起来。在这里,我们报告了 KEGG Mapper,这是一组用于 KEGG PATHWAY、BRITE 和 MODULE 映射的工具,能够集成和解释大规模数据集。我们还报告了一种 KEGG 映射过程的变体,以扩展知识库,其中不同类型的数据和知识,如疾病基因和药物靶点,被整合为 KEGG 分子网络的一部分。最后,我们描述了 KEGG 内容的最新增强,特别是纳入了实践和社会中使用的疾病和药物信息,以支持转化生物信息学。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7303/3245020/b1741fddabce/gkr988f1.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验