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 36 7323 6396 10808 7184 23480 51726 2923 55829 3337 6748 9532 9601 811 6184 5034 1603 6185 10960 10130 578 10952 468 267 30001 3309 10525 118424 3301 29927 51009 3703 64215 7494 7322 6747 55768 C=165;O=36;E=3.84;R=9.37;rawP=1.48e-24;adjP=2.15e-22
Ribosome biogenesis in eukaryotes 20 10557 26354 65083 23560 5822 10775 29889 1736 54433 51602 10528 10940 3692 55813 10199 51096 10248 5901 6880 1459 C=80;O=20;E=1.86;R=10.74;rawP=1.72e-15;adjP=1.25e-13
Shigellosis 14 8517 81873 8767 71 1793 1445 5879 7322 3678 60 10093 4793 10459 10094 C=61;O=14;E=1.42;R=9.86;rawP=1.02e-10;adjP=4.93e-09
Spliceosome 18 51362 6629 6628 4116 3183 10946 10907 5093 83443 6632 84844 9775 10569 6429 22916 6637 10285 11325 C=127;O=18;E=2.96;R=6.09;rawP=1.05e-09;adjP=3.81e-08
RNA transport 18 6396 51095 79228 10557 8669 57510 4116 10775 10940 8894 4927 8668 9775 10248 79833 22916 5901 1977 C=151;O=18;E=3.52;R=5.12;rawP=1.72e-08;adjP=4.99e-07
Protein export 8 58477 10952 6734 29927 23480 3309 9789 60559 C=23;O=8;E=0.54;R=14.94;rawP=3.02e-08;adjP=7.30e-07
Lysosome 15 533 8763 967 8722 4126 2588 10947 23163 10577 162 1176 1203 9114 175 4758 C=121;O=15;E=2.82;R=5.33;rawP=1.57e-07;adjP=3.25e-06
N-Glycan biosynthesis 9 10195 79796 8818 6184 3703 1603 79053 1798 6185 C=49;O=9;E=1.14;R=7.89;rawP=1.73e-06;adjP=3.14e-05
Vibrio cholerae infection 9 533 10952 29927 71 23480 30001 60 9114 9601 C=54;O=9;E=1.26;R=7.16;rawP=4.03e-06;adjP=6.49e-05
Bacterial invasion of epithelial cells 10 81873 71 1793 5295 5879 3678 60 10093 10459 10094 C=70;O=10;E=1.63;R=6.14;rawP=5.01e-06;adjP=7.26e-05


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).