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_SCGGAAGY_V$ELK1_02 22 11338 171017 2976 57130 26088 1454 9489 10948 25930 80179 22985 200185 4849 55738 26233 125950 11129 23759 80209 51586 7075 25764 C=1176;O=22;E=3.16;R=6.96;rawP=7.71e-13;adjP=2.34e-10
hsa_RCGCANGCGY_V$NRF1_Q6 17 8904 11338 2976 7536 57513 57649 8558 22985 10155 5430 8569 125950 6294 11273 55627 8906 8242 C=894;O=17;E=2.40;R=7.07;rawP=3.12e-10;adjP=4.74e-08
hsa_GGGCGGR_V$SP1_Q6 26 8904 171017 7862 26088 57466 124245 10948 7841 25930 80179 57513 57649 23163 200185 10155 4849 5430 221496 125950 6294 11273 8570 8906 4034 25764 53635 C=2891;O=26;E=7.78;R=3.34;rawP=4.13e-08;adjP=4.19e-06
hsa_GCCATNTTG_V$YY1_Q6 10 8904 11338 54540 57649 4849 5430 6294 57455 63925 22794 C=419;O=10;E=1.13;R=8.87;rawP=2.20e-07;adjP=1.67e-05
hsa_V$NFMUE1_Q6 8 8904 57130 7536 6844 4849 57455 8242 9794 C=239;O=8;E=0.64;R=12.44;rawP=3.00e-07;adjP=1.82e-05
hsa_GGAANCGGAANY_UNKNOWN 6 11338 171017 26088 9489 27148 11129 C=106;O=6;E=0.29;R=21.04;rawP=4.55e-07;adjP=2.31e-05
hsa_CAGGTA_V$AREB6_01 12 7862 54540 7536 29801 83642 23152 124245 57649 80162 8603 64319 155061 C=780;O=12;E=2.10;R=5.72;rawP=1.39e-06;adjP=6.04e-05
hsa_V$PAX4_01 7 8904 2976 23152 25930 57649 221496 9794 C=261;O=7;E=0.70;R=9.97;rawP=7.30e-06;adjP=0.0003
hsa_GGGAGGRR_V$MAZ_Q6 18 171017 7536 163033 1454 23152 80179 57513 57649 200185 79567 4849 5430 64319 200186 11273 8570 7075 4034 C=2250;O=18;E=6.05;R=2.97;rawP=3.24e-05;adjP=0.0011
hsa_V$CACBINDINGPROTEIN_Q6 6 163033 57513 57649 22985 200185 64319 C=238;O=6;E=0.64;R=9.37;rawP=4.74e-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).