Info » Home » Help » Documentation Examples » View Subnetwork analysis Attach a text file with a gene/protein lists (one gene ID per line)help Please, do not attach Excel files Gene list upload Organism: Homo sapiens Mus musculus Rattus norvegicus C. elegans Drosophila melanogaster S. cerevisiae Arabidopsis thalaniae E. coli Campylobacter jejuni # random networks: help 20 100 200 KEGG spider is a web-based tool for interpretation of experimentally derived gene lists in order to gain an understanding of metabolism variations at a genomic level. KEGG spider implements a "pathway-free" framework, which overcomes a major bottleneck of exisiting enrichment analyses: it provides global models uniting genes from different metabolic pathways. By analyzing a number of experimentally derived gene lists, we demonstrate that KEGG spider provides deeper insights into metabolism variations in comparison to existing methods. Reference: Antonov A.V., Dietmann S., Mewes H.W. KEGG spider: interpretation of genomics data in the context of the global gene metabolic network. Genome Biology 2008, 9:R179. Feel free to use our other web-based tools for the interpretation of experimental data. Currently you can access the following tools: KEGG spider interpretation of genomics data in the context of the global gene metabolic network. PPI spider interpretation of genomics data in the context of the global protein interaction network. PLIPS an Automatically Collected Database of Protein Lists Reported by Proteomics Studies ProfCom profiling a complex functionality of gene groups GeneSet2MiRNA searching for the signiture of MiRNA regulatory activity in a gene list TICL network-based Interpretation of Compound Lists inferred by high-throughput metabolomics DICS dense modules from protein-protein interaction networks.