KEGG Mapper for inferring cellular functions from protein sequences
KEGG Mapper for inferring cellular functions from protein sequences
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DOI：
10.1002/pro.3711
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发表时间：
2019-08-29
期刊：
影响因子：
8
通讯作者：
Sato, Yoko
中科院分区：
文献类型：
--
作者：
Kanehisa, Minoru;Sato, Yoko
KEGG是用于大规模分子数据集（如基因组和宏基因组序列）的生物学解释的参考知识库。它积累了关于细胞和生物体的高水平功能的实验知识，这些功能以KEGG分子网络表示，包括KEGG通路图，BRITE层次结构和KEGG模块。通过称为KEGG作图的过程，例如，基因组中的一组蛋白质编码基因可以转化为KEGG分子网络，从而能够解释细胞功能和其他高级特征。在这里，我们报告一个新版本的KEGG映射器，一套KEGG映射工具，可在KEGG网站（或），连同KOALA家庭工具自动分配KO（KEGG正交）标识符中使用的映射。
KEGG is a reference knowledge base for biological interpretation of large-scale molecular datasets, such as genome and metagenome sequences. It accumulates experimental knowledge about high-level functions of the cell and the organism represented in terms of KEGG molecular networks, including KEGG pathway maps, BRITE hierarchies, and KEGG modules. By the process called KEGG mapping, a set of protein coding genes in the genome, for example, can be converted to KEGG molecular networks enabling interpretation of cellular functions and other high-level features. Here we report a new version of KEGG Mapper, a suite of KEGG mapping tools available at the KEGG website ( or ), together with the KOALA family tools for automatic assignment of KO (KEGG Orthology) identifiers used in the mapping.