Zhang Jitao David, Wiemann Stefan
Division of Molecular Genome Analysis, German Cancer Research Center (DKFZ), INF 580, Heidelberg, Germany.
Bioinformatics. 2009 Jun 1;25(11):1470-1. doi: 10.1093/bioinformatics/btp167. Epub 2009 Mar 23.
KEGG PATHWAY is a service of Kyoto Encyclopedia of Genes and Genomes (KEGG), constructing manually curated pathway maps that represent current knowledge on biological networks in graph models. While valuable graph tools have been implemented in R/Bioconductor, to our knowledge there is currently no software package to parse and analyze KEGG pathways with graph theory.
We introduce the software package KEGGgraph in R and Bioconductor, an interface between KEGG pathways and graph models as well as a collection of tools for these graphs. Superior to existing approaches, KEGGgraph captures the pathway topology and allows further analysis or dissection of pathway graphs. We demonstrate the use of the package by the case study of analyzing human pancreatic cancer pathway.
KEGGgraph is freely available at the Bioconductor web site (http://www.bioconductor.org). KGML files can be downloaded from KEGG FTP site (ftp://ftp.genome.jp/pub/kegg/xml).
KEGG通路是京都基因与基因组百科全书(KEGG)的一项服务,它构建了人工策划的通路图,以图形模型表示当前关于生物网络的知识。虽然在R/Bioconductor中已经实现了有价值的图形工具,但据我们所知,目前还没有用于用图论解析和分析KEGG通路的软件包。
我们在R和Bioconductor中引入了软件包KEGGgraph,它是KEGG通路与图形模型之间的接口,也是这些图形的工具集合。KEGGgraph优于现有方法,它能够捕捉通路拓扑结构,并允许对通路图进行进一步分析或拆解。我们通过分析人类胰腺癌通路的案例研究展示了该软件包的使用。
KEGGgraph可在Bioconductor网站(http://www.bioconductor.org)免费获取。KGML文件可从KEGG FTP站点(ftp://ftp.genome.jp/pub/kegg/xml)下载。