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
Osteoclast differentiation 29 10288 2213 4689 11006 54209 3932 695 814 10859 3937 126014 4688 2214 1535 23533 11024 653361 2212 10990 5603 7305 79168 11027 11025 6688 6850 54 1536 1436 C=128;O=29;E=1.76;R=16.48;rawP=6.84e-27;adjP=7.46e-25
Chemokine signaling pathway 32 6368 6363 10663 6352 4067 1794 7409 5880 58191 1230 23533 653361 6351 6367 6348 5330 2829 3702 10451 57580 729230 2786 3055 2268 7454 7852 5579 6357 2185 409 6362 1234 C=189;O=32;E=2.60;R=12.31;rawP=2.58e-25;adjP=1.41e-23
Staphylococcus aureus infection 19 721 3683 5724 2213 6404 720 3684 3426 3586 2214 3689 713 712 714 2212 2359 717 3112 719 C=55;O=19;E=0.76;R=25.12;rawP=5.65e-22;adjP=2.05e-20
Cytokine-cytokine receptor interaction 33 8741 6368 6363 1438 4050 3561 10673 729230 3606 3594 3586 3560 958 10663 6352 944 51561 3587 1439 7133 58191 7852 1230 3575 6351 6367 6357 3559 6348 6362 2829 1234 1436 C=265;O=33;E=3.64;R=9.06;rawP=1.05e-21;adjP=2.29e-20
Hematopoietic cell lineage 22 920 916 3676 1438 3684 917 926 929 924 931 914 290 921 925 951 2208 3575 1378 915 3559 945 1436 C=88;O=22;E=1.21;R=18.18;rawP=9.77e-22;adjP=2.29e-20
Natural killer cell mediated cytotoxicity 24 3683 10451 10870 962 117157 2207 3932 5777 4277 3937 3002 2214 7409 3689 5880 4068 23533 5579 7535 919 2185 7305 5551 6850 C=136;O=24;E=1.87;R=12.83;rawP=9.38e-20;adjP=1.70e-18
T cell receptor signaling pathway 22 10451 84433 920 1493 3932 5777 916 9402 917 926 3586 3937 7409 5788 925 23533 7535 919 5603 915 940 3702 C=108;O=22;E=1.49;R=14.81;rawP=1.22e-19;adjP=1.90e-18
Leukocyte transendothelial migration 20 3683 10451 4689 3676 3684 83593 399 4688 7409 3689 5880 7852 1535 23533 5579 653361 2185 5603 1536 3702 C=116;O=20;E=1.60;R=12.54;rawP=1.76e-16;adjP=2.40e-15
B cell receptor signaling pathway 17 7409 973 2213 10451 5880 84433 5579 23533 118788 5777 3635 695 27071 971 4067 11025 6850 C=75;O=17;E=1.03;R=16.48;rawP=2.54e-16;adjP=3.08e-15
Phagosome 22 2213 64581 4689 4360 3684 30835 4481 929 10333 4688 2214 8685 3689 81035 1520 1535 653361 2212 11151 3112 55176 1536 C=153;O=22;E=2.10;R=10.46;rawP=2.97e-16;adjP=3.24e-15


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).