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
Metabolic pathways 82 197258 25885 7389 51380 8527 1120 9487 8867 8277 23475 79586 8611 6484 230 1789 51727 8309 4129 31 10826 8813 54963 1353 2595 25902 81888 11232 4832 275 54675 5831 137964 2744 8974 23305 56898 1577 6483 8704 549 2593 79087 5428 2592 6480 10873 10020 26007 51477 2053 51004 23396 128 8659 55512 661 2589 280 56474 3155 501 5832 27034 8398 10621 2673 7923 217 29968 7166 5422 51733 11253 6342 5498 51601 2590 254531 47 166929 6713 3712 C=1130;O=82;E=32.12;R=2.55;rawP=1.51e-14;adjP=2.46e-12
Small cell lung cancer 13 1284 7186 842 1871 9063 3688 1027 1287 1282 7187 2272 598 329 C=85;O=13;E=2.42;R=5.38;rawP=8.25e-07;adjP=6.72e-05
Pathways in cancer 26 387 1284 862 7186 842 2257 5604 1871 1287 3845 598 329 7482 1399 2261 1398 998 5899 8030 81029 6608 3688 9063 1027 1282 7187 C=326;O=26;E=9.27;R=2.81;rawP=2.82e-06;adjP=0.0001
Lysine degradation 9 5351 501 51111 217 84787 79723 387893 6419 6839 C=44;O=9;E=1.25;R=7.20;rawP=3.41e-06;adjP=0.0001
SNARE interactions in vesicular transport 8 2054 6845 9570 6843 10652 8675 8676 10228 C=36;O=8;E=1.02;R=7.82;rawP=6.21e-06;adjP=0.0002
Regulation of actin cytoskeleton 19 55970 387 54434 2257 5604 3845 5305 23396 56924 1399 2261 1398 998 9087 8976 3690 3688 4478 50649 C=213;O=19;E=6.06;R=3.14;rawP=1.25e-05;adjP=0.0003
Arginine and proline metabolism 9 8659 2744 217 2593 8974 501 5832 4129 5831 C=54;O=9;E=1.54;R=5.86;rawP=1.98e-05;adjP=0.0005
Pathogenic Escherichia coli infection 9 387 7846 998 8976 3688 84790 84617 203068 10376 C=56;O=9;E=1.59;R=5.65;rawP=2.68e-05;adjP=0.0005
Focal adhesion 17 387 1284 1302 7058 5604 1287 3611 3371 329 23396 56924 1399 1398 998 3690 3688 1282 C=200;O=17;E=5.69;R=2.99;rawP=6.47e-05;adjP=0.0012
Peroxisome 10 373156 5191 26061 23305 9409 6342 3155 8309 2053 5826 C=79;O=10;E=2.25;R=4.45;rawP=8.09e-05;adjP=0.0013


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).