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
T cell receptor signaling pathway 12 925 1493 84433 3932 7535 919 916 917 9402 926 915 3702 C=108;O=12;E=0.24;R=50.98;rawP=1.30e-17;adjP=4.42e-16
Hematopoietic cell lineage 10 925 3575 916 917 926 915 924 914 931 921 C=88;O=10;E=0.19;R=52.14;rawP=5.80e-15;adjP=9.54e-14
Primary immunodeficiency 8 925 3575 3932 7535 916 3561 926 915 C=35;O=8;E=0.08;R=104.87;rawP=8.42e-15;adjP=9.54e-14
Cell adhesion molecules (CAMs) 10 3106 925 3118 3695 3683 1493 923 926 83700 914 C=133;O=10;E=0.29;R=34.50;rawP=4.00e-13;adjP=3.40e-12
Natural killer cell mediated cytotoxicity 10 3106 3683 5880 962 4068 3932 7535 919 3002 5551 C=136;O=10;E=0.30;R=33.74;rawP=5.02e-13;adjP=3.41e-12
Cytokine-cytokine receptor interaction 9 7852 3575 3561 6351 6348 6352 10663 3560 1234 C=265;O=9;E=0.58;R=15.58;rawP=7.35e-09;adjP=4.16e-08
Chemokine signaling pathway 8 5880 7852 6351 6348 6352 10663 1234 3702 C=189;O=8;E=0.41;R=19.42;rawP=9.46e-09;adjP=4.59e-08
Autoimmune thyroid disease 5 3106 3118 1493 5551 3002 C=52;O=5;E=0.11;R=44.12;rawP=1.06e-07;adjP=4.42e-07
Chagas disease (American trypanosomiasis) 6 915 6348 6352 919 916 917 C=104;O=6;E=0.23;R=26.47;rawP=1.17e-07;adjP=4.42e-07
Leukocyte transendothelial migration 6 3683 5880 7852 399 83700 3702 C=116;O=6;E=0.25;R=23.73;rawP=2.23e-07;adjP=7.58e-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).