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
Protein processing in endoplasmic reticulum 26 7323 10808 7184 30001 3312 3309 10525 2923 51726 55829 3337 3301 9532 3304 79139 811 6184 56681 64215 3703 1603 7494 6185 3320 10130 55768 C=165;O=26;E=0.80;R=32.52;rawP=1.04e-31;adjP=4.06e-30
Antigen processing and presentation 7 811 2923 3320 10197 3312 3309 3304 C=76;O=7;E=0.37;R=19.01;rawP=9.35e-08;adjP=1.82e-06
N-Glycan biosynthesis 6 6184 6185 8703 3703 1603 79053 C=49;O=6;E=0.24;R=25.27;rawP=1.42e-07;adjP=1.85e-06
RNA transport 7 79833 8894 5901 1977 8669 11171 129401 C=151;O=7;E=0.73;R=9.57;rawP=9.71e-06;adjP=9.47e-05
Protein export 3 58477 9789 3309 C=23;O=3;E=0.11;R=26.92;rawP=0.0002;adjP=0.0016
Metabolic pathways 15 384 6184 204 55312 7360 3703 1603 84245 79053 1789 26007 5033 6185 8703 9453 C=1130;O=15;E=5.48;R=2.74;rawP=0.0004;adjP=0.0026
Ubiquitin mediated proteolysis 5 64326 7323 26091 246184 7318 C=135;O=5;E=0.65;R=7.64;rawP=0.0005;adjP=0.0028
Ribosome biogenesis in eukaryotes 4 55813 5901 1736 23560 C=80;O=4;E=0.39;R=10.32;rawP=0.0006;adjP=0.0029
Prion diseases 3 10963 3309 5604 C=35;O=3;E=0.17;R=17.69;rawP=0.0007;adjP=0.0030
Oocyte meiosis 4 5525 246184 7532 5604 C=112;O=4;E=0.54;R=7.37;rawP=0.0022;adjP=0.0086



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).