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
PPAR signaling pathway 7 6319 7350 5468 9370 5346 2167 5105 C=70;O=7;E=0.21;R=33.17;rawP=1.97e-09;adjP=6.30e-08
Glycerolipid metabolism 5 57678 10555 1608 132158 84649 C=50;O=5;E=0.15;R=33.17;rawP=4.38e-07;adjP=7.01e-06
Neuroactive ligand-receptor interaction 7 2911 3952 9340 5733 185 624 1268 C=272;O=7;E=0.82;R=8.54;rawP=2.01e-05;adjP=0.0002
Insulin signaling pathway 5 5792 2885 3991 2194 5105 C=138;O=5;E=0.42;R=12.02;rawP=6.48e-05;adjP=0.0004
Complement and coagulation cascades 4 5104 718 5648 624 C=69;O=4;E=0.21;R=19.23;rawP=5.85e-05;adjP=0.0004
Glycerophospholipid metabolism 4 57678 10555 1608 2819 C=80;O=4;E=0.24;R=16.59;rawP=0.0001;adjP=0.0005
Calcium signaling pathway 5 2911 5733 185 5153 624 C=177;O=5;E=0.53;R=9.37;rawP=0.0002;adjP=0.0009
Metabolic pathways 11 1159 10555 5091 84649 2194 5105 57678 26227 1608 132158 5226 C=1130;O=11;E=3.41;R=3.23;rawP=0.0006;adjP=0.0024
Adipocytokine signaling pathway 3 3952 9370 5105 C=68;O=3;E=0.20;R=14.64;rawP=0.0012;adjP=0.0043
Biosynthesis of unsaturated fatty acids 2 6319 201562 C=21;O=2;E=0.06;R=31.59;rawP=0.0018;adjP=0.0058



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).