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
TGF-beta signaling pathway 10 1634 4052 7044 392255 7060 652 1311 654 5595 151449 C=84;O=10;E=1.08;R=9.27;rawP=1.33e-07;adjP=1.38e-05
Axon guidance 10 2042 8633 2534 57689 6586 2051 9353 57556 25791 5595 C=129;O=10;E=1.66;R=6.03;rawP=7.08e-06;adjP=0.0004
Focal adhesion 11 2534 5906 8516 7060 3912 4638 80310 3691 1311 5602 5595 C=200;O=11;E=2.57;R=4.28;rawP=6.24e-05;adjP=0.0022
ECM-receptor interaction 7 3691 375790 1311 8516 9900 7060 3912 C=85;O=7;E=1.09;R=6.41;rawP=0.0001;adjP=0.0026
Neuroactive ligand-receptor interaction 12 147 2151 2905 9568 3357 2894 10316 186 2149 3953 2846 4886 C=272;O=12;E=3.49;R=3.43;rawP=0.0002;adjP=0.0035
Metabolic pathways 30 384 33 26289 5333 54802 50814 171568 9197 114805 2131 4942 7084 1757 5167 1650 23057 8854 3291 23498 8833 191 874 55627 8703 216 1593 4357 113451 84620 4907 C=1130;O=30;E=14.52;R=2.07;rawP=0.0002;adjP=0.0035
mRNA surveillance pathway 6 5521 8189 140886 132430 8761 10921 C=83;O=6;E=1.07;R=5.63;rawP=0.0007;adjP=0.0104
Hedgehog signaling pathway 5 652 2736 654 2735 51715 C=56;O=5;E=0.72;R=6.95;rawP=0.0008;adjP=0.0104
Tight junction 7 5521 2037 8531 4628 8189 3996 5010 C=132;O=7;E=1.70;R=4.13;rawP=0.0016;adjP=0.0185
Regulation of actin cytoskeleton 9 2934 2258 8516 4638 80310 3691 4628 2149 5595 C=213;O=9;E=2.74;R=3.29;rawP=0.0019;adjP=0.0198


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).