WEB-based GEne SeT AnaLysis Toolkit
 
Translating gene lists into biological insights...
 



User data and parameters: User data: textAreaUpload.txt, Organism: hsapiens, Id Type: ensembl_gene_stable_id, Ref Set: entrezgene, Significance Level: Top10, Statistics Test: Hypergeometric, MTC: BH, Minimum: 2

This table lists the enriched KEGG pathways, number of Entrez IDs in your user data set for the pathway, the corresponding Entrez IDs, and the statistics for the enriched pathway.
The statistic column lists:
Finally, the pathway name is linked to KEGG where the user ids are highlighted, the number of user gene ids is linked to a table with information about the user ids, and the Entrez IDs are linked to Entrez Gene.

PathwayName #Gene EntrezGene Statistics
Ribosome biogenesis in eukaryotes 3 10940 55341 84135 C=80;O=3;E=0.12;R=25.67;rawP=0.0002;adjP=0.0004
Terpenoid backbone biosynthesis 2 3157 3156 C=15;O=2;E=0.02;R=91.27;rawP=0.0002;adjP=0.0004
Spliceosome 3 9128 6632 1665 C=127;O=3;E=0.19;R=16.17;rawP=0.0009;adjP=0.0012
Metabolic pathways 4 3157 10826 8608 3156 C=1130;O=4;E=1.65;R=2.42;rawP=0.0832;adjP=0.0832



WebGestalt is currently developed and maintained by Jing Wang and Bing Zhang at the Zhang Lab. Other people who have made significant contribution to the project include Dexter Duncan, Stefan Kirov, Zhiao Shi, and Jay Snoddy.

Funding credits: NIH/NIAAA (U01 AA016662, U01 AA013512); NIH/NIDA (P01 DA015027); NIH/NIMH (P50 MH078028, P50 MH096972); NIH/NCI (U24 CA159988); NIH/NIGMS (R01 GM088822).