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. © 2008 Antonov et al.; licensee BioMed Central Ltd.
CITATION STYLE
Antonov, A. V., Dietmann, S., & Mewes, H. W. (2008). KEGG spider: Interpretation of genomics data in the context of the global gene metabolic network. Genome Biology, 9(12). https://doi.org/10.1186/gb-2008-9-12-r179
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