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



User data and parameters: User data: textAreaUpload.txt, Organism: hsapiens, Id Type: gene_symbol, 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
Ubiquitin mediated proteolysis 13 10273 8924 7189 23291 8065 7337 10075 6477 8925 11059 7326 89910 8945 C=135;O=13;E=1.73;R=7.50;rawP=2.37e-08;adjP=2.18e-06
RNA transport 11 25929 6613 84305 53371 7919 26019 22985 51808 79902 8661 10605 C=151;O=11;E=1.94;R=5.67;rawP=4.53e-06;adjP=0.0001
Endocytosis 13 55738 7189 22905 137492 60682 3480 10059 9922 11059 25978 5869 9135 9815 C=201;O=13;E=2.58;R=5.03;rawP=2.37e-06;adjP=0.0001
mRNA surveillance pathway 6 26019 64895 22985 10767 84305 7919 C=83;O=6;E=1.07;R=5.63;rawP=0.0007;adjP=0.0147
Vascular smooth muscle contraction 7 5581 91807 369 2767 9138 115 27094 C=116;O=7;E=1.49;R=4.70;rawP=0.0008;adjP=0.0147
Vasopressin-regulated water reabsorption 4 1778 397 5869 115 C=44;O=4;E=0.57;R=7.08;rawP=0.0024;adjP=0.0315
RIG-I-like receptor signaling pathway 5 54941 9140 7189 57506 5601 C=71;O=5;E=0.91;R=5.48;rawP=0.0022;adjP=0.0315
Nicotinate and nicotinamide metabolism 3 55191 952 64802 C=24;O=3;E=0.31;R=9.73;rawP=0.0035;adjP=0.0358
Wnt signaling pathway 7 2033 1387 23291 4775 6477 8945 5601 C=150;O=7;E=1.93;R=3.63;rawP=0.0034;adjP=0.0358
Progesterone-mediated oocyte maturation 5 369 3480 5140 115 5601 C=86;O=5;E=1.10;R=4.53;rawP=0.0051;adjP=0.0452



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).