Antonov Alexey V, Dietmann Sabine, Mewes Hans W
GSF National Research Centre for Environment and Health, Institute for Bioinformatics, Ingolstädter Landstrasse 1, D-85764 Neuherberg, Germany.
Genome Biol. 2008;9(12):R179. doi: 10.1186/gb-2008-9-12-r179. Epub 2008 Dec 18.
KEGG spider is a web-based tool for interpretation of experimentally derived gene lists in order to gain understanding of metabolism variations at a genomic level. KEGG spider implements a 'pathway-free' framework that overcomes a major bottleneck of enrichment analyses: it provides global models uniting genes from different metabolic pathways. Analyzing a number of experimentally derived gene lists, we demonstrate that KEGG spider provides deeper insights into metabolism variations in comparison to existing methods.
KEGG蜘蛛是一种基于网络的工具,用于解释实验得出的基因列表,以便在基因组水平上了解代谢变化。KEGG蜘蛛实现了一个“无通路”框架,克服了富集分析的一个主要瓶颈:它提供了整合来自不同代谢途径基因的全局模型。通过分析多个实验得出的基因列表,我们证明与现有方法相比,KEGG蜘蛛能更深入地洞察代谢变化。