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_RYTTCCTG_V$ETS2_B 96 8741 64866 131450 29933 80342 920 2207 942 8477 916 8673 1606 124460 51561 4067 4688 921 22797 7409 10225 3902 23616 752 919 51135 923 4013 6688 3683 4689 117157 8935 23526 5777 695 3586 257106 958 6793 3936 931 25987 80774 7454 5778 393 409 1116 9051 10870 120425 64170 4050 10673 9744 83706 201266 1880 4064 973 1520 1230 9960 3783 121355 23149 27071 5790 5330 5551 1521 2213 84674 64581 54440 3932 10462 1796 22821 8698 864 639 8631 399 202309 55843 5788 8685 2268 11184 3059 3575 7305 50619 6789 401563 C=1074;O=96;E=14.77;R=6.50;rawP=8.54e-49;adjP=4.30e-46
hsa_RGAGGAARY_V$PU1_Q6 46 8741 131450 5724 221472 23166 3937 1241 4067 921 83758 7409 51393 752 51135 6688 64092 5450 3695 3683 5777 259307 26191 84958 257106 374403 3071 5778 55911 27128 283234 139818 5880 118788 84174 51411 5790 5330 140 128346 2124 9746 8631 951 3394 7305 9046 C=495;O=46;E=6.81;R=6.76;rawP=2.64e-24;adjP=6.64e-22
hsa_V$PEA3_Q6 31 81622 916 3606 114769 79961 4688 921 963 3902 919 51135 6688 5450 5777 84958 257106 374403 969 3559 283234 120425 83706 1520 51411 8832 5551 1521 3932 864 2214 5788 C=253;O=31;E=3.48;R=8.91;rawP=2.94e-20;adjP=4.93e-18
hsa_V$ELF1_Q6 29 8741 80342 2207 221472 23166 7409 3902 64092 3695 80774 7454 712 3071 199 51291 55911 409 283234 241 6368 64170 23231 27071 5330 8698 951 3575 3394 7305 C=238;O=29;E=3.27;R=8.86;rawP=5.73e-19;adjP=7.21e-17
hsa_V$ETS_Q4 28 1606 3937 4067 7409 919 51135 11151 3695 23526 257106 3936 80774 56670 374403 393 409 10870 9535 9744 139818 973 9960 23149 5330 8631 55843 11184 3059 C=247;O=28;E=3.40;R=8.24;rawP=1.60e-17;adjP=1.61e-15
hsa_V$PU1_Q6 26 8741 3606 3937 1241 4067 4688 7409 51135 1511 26191 257106 6948 374403 3071 55911 3903 283234 55016 5790 5330 140 128346 2124 6916 951 3394 C=230;O=26;E=3.16;R=8.22;rawP=2.45e-16;adjP=2.05e-14
hsa_RACCACAR_V$AML_Q6 27 9595 2207 51393 10783 923 3695 23526 26191 10538 257106 5199 7454 969 2123 55911 117289 126014 1601 1230 84174 6351 29909 54440 3932 3575 9046 940 C=255;O=27;E=3.51;R=7.70;rawP=3.42e-16;adjP=2.46e-14
hsa_V$COREBINDINGFACTOR_Q6 27 9595 2207 219855 51561 3002 23136 923 6348 3695 23526 26191 10538 969 2123 2185 117289 201633 9402 1230 84174 6351 29909 54440 55843 64407 3575 940 C=266;O=27;E=3.66;R=7.38;rawP=9.88e-16;adjP=6.21e-14
hsa_V$STAT6_02 25 8741 131450 23166 22797 3902 6688 8935 57580 84958 79930 5579 27128 283234 64170 116 139818 5330 10451 54440 1359 3932 864 3575 11040 6789 C=254;O=25;E=3.49;R=7.16;rawP=2.34e-14;adjP=1.31e-12
hsa_TGANTCA_V$AP1_C 51 118932 1606 51561 3002 55 6252 10783 10393 10894 1806 64129 5874 3687 29887 6752 719 5450 9956 117157 695 3586 84958 6793 25987 146547 55911 9051 55803 7405 84966 814 677 23231 81553 83706 1880 9960 3783 55016 5551 3101 116984 9746 8530 1796 6916 639 3059 3575 1436 401563 C=1104;O=51;E=15.18;R=3.36;rawP=7.34e-14;adjP=3.69e-12


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).