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_CAGGTG_V$E12_Q6 57 10602 84628 1839 1314 79933 114883 79847 9451 5326 56660 8527 79094 88 844 91977 780 3249 79147 8048 23657 221895 8848 51582 10223 51330 23240 11193 27063 112399 2318 627 4139 4320 165904 4524 9948 29763 4580 4919 146862 3026 1134 64854 387597 84675 1978 2775 58 26353 152006 7286 9223 81608 166012 25822 55800 9958 C=2450;O=57;E=15.79;R=3.61;rawP=2.31e-17;adjP=8.91e-15
hsa_GGGCGGR_V$SP1_Q6 62 64753 10602 340719 7342 79228 83638 2029 9451 5326 56660 55740 80196 10256 9802 844 3249 8870 7465 8048 84081 7138 113235 51306 9819 51582 51330 23240 5627 11193 6885 8128 4211 23034 4215 627 54819 25847 165904 10962 5794 26994 10971 4580 81488 55148 3417 1264 2260 1073 200942 3308 3840 2801 339366 58 152006 9223 126433 25822 90488 9958 2135 C=2891;O=62;E=18.64;R=3.33;rawP=3.35e-17;adjP=8.91e-15
hsa_CTTTGT_V$LEF1_Q2 49 64753 2632 10602 8728 10160 6272 23543 79933 23676 9586 7042 780 376267 8048 23657 8848 23240 11193 8128 10006 4211 627 10962 6993 29763 10971 7328 4580 83604 4919 79683 7107 23012 1073 8405 22872 55664 1647 6450 152006 5500 2273 7168 9223 5101 25822 55122 27250 2135 C=1939;O=49;E=12.50;R=3.92;rawP=2.41e-16;adjP=4.27e-14
hsa_CTTTAAR_UNKNOWN 33 7871 84628 79228 79933 114883 64426 9451 56660 9586 7042 4892 8048 376267 84081 221895 51306 51582 112399 4211 627 51278 1523 29763 23012 3417 1073 10052 6722 64927 22876 81608 9223 5101 C=960;O=33;E=6.19;R=5.33;rawP=6.95e-15;adjP=9.24e-13
hsa_GGGAGGRR_V$MAZ_Q6 50 10602 8728 1850 79228 80851 23543 79933 2029 337867 7042 844 79147 8048 23011 221895 9819 51582 51330 3717 11193 8128 4211 4215 2318 627 51278 7879 29763 9200 10971 7328 4580 4919 79683 7107 3417 1264 387597 2260 2801 339366 2775 10272 5500 6722 22876 2669 5101 25822 55800 C=2250;O=50;E=14.50;R=3.45;rawP=1.74e-14;adjP=1.85e-12
hsa_YTATTTTNR_V$MEF2_02 26 7871 10602 84628 825 5326 23676 9586 844 5495 8048 23011 7138 221895 8848 254778 627 4139 165904 1523 29763 146862 2775 5101 55122 81847 27250 C=691;O=26;E=4.45;R=5.84;rawP=7.89e-13;adjP=7.00e-11
hsa_TTGTTT_V$FOXO4_01 44 7871 64753 340719 6272 1850 80851 2743 9451 9586 7042 5495 8048 84272 23657 51582 137735 11193 254778 858 4211 4215 627 54149 4139 54674 253827 7328 4580 79683 3026 7107 23012 1264 1073 55760 22872 22978 3682 2775 152006 5500 9223 81608 27250 C=2037;O=44;E=13.13;R=3.35;rawP=2.11e-12;adjP=1.60e-10
hsa_TGGAAA_V$NFAT_Q4_01 41 10602 340719 84628 6272 79228 23543 2029 5326 9586 7042 5495 8870 8048 84081 25814 137735 11193 4211 10924 2318 627 54149 7879 54674 29763 10971 57134 7328 4580 56950 1264 7415 5515 22978 1647 2775 152006 22876 7168 27250 2135 C=1871;O=41;E=12.06;R=3.40;rawP=8.41e-12;adjP=5.59e-10
hsa_CAGCTG_V$AP4_Q5 36 10602 340719 84628 23543 79933 79094 7042 91977 780 196410 23657 7138 51582 254778 11193 27063 9229 4215 2318 165904 10962 54674 29763 7328 57134 146862 1134 8405 58 6722 9223 2669 84700 5101 25822 55800 C=1502;O=36;E=9.68;R=3.72;rawP=1.52e-11;adjP=8.98e-10
hsa_V$SRF_C 14 10398 4211 8997 83604 146862 1264 10627 1613 1073 84675 58 6722 7286 84700 C=209;O=14;E=1.35;R=10.39;rawP=1.12e-10;adjP=5.42e-09


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).