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
Ubiquitin mediated proteolysis 39 23291 7189 9320 57448 90293 55284 9039 331 26232 25898 9354 51366 329 4734 8916 64682 8554 8065 7337 4193 7326 51434 11059 9690 1643 55958 7428 83737 7319 8452 672 867 4591 55236 10401 996 8925 8453 5371 C=135;O=39;E=5.74;R=6.79;rawP=5.65e-22;adjP=8.98e-20
MAPK signaling pathway 40 2005 5599 7189 673 4763 8649 51701 1147 5532 10746 1399 3551 5601 5062 5494 5600 994 5598 7786 5567 5159 51347 6655 6654 9693 9448 57551 8491 5921 8517 782 1398 23118 80824 4776 5594 51776 6416 6197 781 C=268;O=40;E=11.40;R=3.51;rawP=5.69e-12;adjP=4.52e-10
Pathways in cancer 44 5599 7189 673 29119 331 1147 324 329 1399 8554 5925 4193 3480 3551 5601 6608 5290 4233 5159 1856 5915 6655 6654 7428 3908 867 26060 5291 6934 572 10401 7175 8517 51684 1398 81029 8453 5371 4437 2932 367 3685 5594 3066 C=326;O=44;E=13.87;R=3.17;rawP=1.63e-11;adjP=8.64e-10
ErbB signaling pathway 20 5599 6655 673 6654 867 5291 572 27 1399 817 1398 5601 5062 8440 5290 2932 6198 5594 2549 6416 C=87;O=20;E=3.70;R=5.40;rawP=5.28e-10;adjP=2.10e-08
RNA transport 26 55706 1975 1964 84305 8672 9631 1982 23279 4928 10605 23165 8661 59343 25929 7175 5903 7514 4686 55746 57187 1965 26019 9972 1983 51068 9818 C=151;O=26;E=6.42;R=4.05;rawP=1.26e-09;adjP=4.01e-08
Focal adhesion 29 5599 6655 673 4659 6654 394 331 4633 3908 859 5291 329 1399 572 1398 3480 5601 5062 5290 2932 6093 3685 4233 3680 8515 5594 9475 4636 5159 C=200;O=29;E=8.51;R=3.41;rawP=8.70e-09;adjP=2.31e-07
Arrhythmogenic right ventricular cardiomyopathy (ARVC) 17 1756 29119 6444 6262 5318 3908 6546 6934 4000 782 1824 1829 3685 8515 3680 1000 781 C=74;O=17;E=3.15;R=5.40;rawP=1.04e-08;adjP=2.35e-07
Hepatitis C 23 5599 7189 6655 673 24146 6654 5465 5520 1147 3661 5291 10401 572 8517 8554 5610 5601 3551 5290 2932 1965 5600 5594 C=134;O=23;E=5.70;R=4.03;rawP=1.18e-08;adjP=2.35e-07
Neurotrophin signaling pathway 22 5599 7189 6655 673 6654 397 5291 1399 572 817 1398 57498 5601 3551 5290 2932 5600 5598 5594 2549 10818 6197 C=127;O=22;E=5.40;R=4.07;rawP=2.05e-08;adjP=3.34e-07
Insulin signaling pathway 23 5563 5599 6655 10580 673 6654 5257 867 5291 572 1399 5770 1398 5601 3551 122809 5290 2932 6198 10891 5594 5576 5567 C=138;O=23;E=5.87;R=3.92;rawP=2.10e-08;adjP=3.34e-07


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).