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 transcription factor targets (TFT), number of Entrez IDs in your user data set for the TFT, the corresponding Entrez IDs, and the statistics for the enriched TF.
The statistic column lists:
Finally, 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.

TFT #Gene EntrezGene Statistics
hsa_GGGCGGR_V$SP1_Q6 61 7323 10808 55573 204 55466 7360 127829 8987 84245 26007 2923 23210 65056 9643 7702 2286 8726 5606 811 79647 11328 2961 116150 8894 50999 56681 24142 26091 54732 56650 124790 3329 2288 10130 83931 10959 84955 7296 10576 8905 3309 3312 6388 10525 7203 10204 3301 1729 7532 2339 94056 5525 3188 6418 5033 51060 6741 9474 1662 9367 81629 C=2891;O=61;E=14.01;R=4.35;rawP=2.74e-23;adjP=1.16e-20
hsa_TTCNRGNNNNTTC_V$HSF_Q6 15 10808 10963 23210 9643 10575 3329 2288 83931 90861 3312 26973 10204 3301 7532 3304 C=150;O=15;E=0.73;R=20.63;rawP=1.05e-15;adjP=2.22e-13
hsa_RGAANNTTC_V$HSF1_01 20 10808 10963 23210 3337 65056 9643 1390 10575 3329 2288 10576 3312 26973 7203 3301 7532 3304 79139 5033 81629 C=441;O=20;E=2.14;R=9.36;rawP=7.04e-14;adjP=9.90e-12
hsa_V$HSF2_01 16 10808 65056 9643 3337 1390 10575 26091 3329 2288 3312 26973 7203 7532 3304 79139 81629 C=248;O=16;E=1.20;R=13.31;rawP=1.15e-13;adjP=1.21e-11
hsa_V$HSF_Q6 13 10808 23210 3337 65056 9643 3329 2288 90861 7203 10204 7532 3304 5033 C=196;O=13;E=0.95;R=13.69;rawP=1.73e-11;adjP=1.46e-09
hsa_V$HSF1_01 14 10808 23210 3337 65056 9643 1390 3329 2288 3312 26973 7203 3301 7532 81629 C=265;O=14;E=1.28;R=10.90;rawP=5.96e-11;adjP=4.09e-09
hsa_GGGAGGRR_V$MAZ_Q6 37 7323 10963 7360 9500 10263 9789 65056 7702 3337 2286 55267 8726 1390 64881 79647 56681 1789 2107 7873 124790 3329 1977 2288 2617 8905 3312 163590 3301 10204 64101 1729 7532 3188 6418 5033 10285 81629 C=2250;O=37;E=10.90;R=3.39;rawP=6.79e-11;adjP=4.09e-09
hsa_RCGCANGCGY_V$NRF1_Q6 23 7323 56647 55573 9500 9643 2286 11020 8726 4189 55017 22948 8894 2961 50999 51400 1603 26091 3329 55749 7203 3301 6418 5033 C=894;O=23;E=4.33;R=5.31;rawP=9.73e-11;adjP=5.13e-09
hsa_TTCYRGAA_UNKNOWN 14 10808 10963 23210 9643 10914 10575 150275 1789 3329 83931 3312 26973 3301 7532 C=325;O=14;E=1.57;R=8.89;rawP=8.60e-10;adjP=4.03e-08
hsa_SCGGAAGY_V$ELK1_02 24 10808 10969 3337 7290 55017 56681 51400 80185 26091 83931 8905 26973 6388 84298 10204 3301 1729 9261 51292 64215 7336 51060 9474 10197 C=1176;O=24;E=5.70;R=4.21;rawP=3.69e-09;adjP=1.56e-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).