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_TGGAAA_V$NFAT_Q4_01 32 140456 8091 3589 152110 4291 54715 6662 9520 54894 9324 23002 143279 9414 488 4162 5255 783 800 9687 54414 225 7170 83539 23224 3752 8301 90523 80344 2252 4982 23187 79442 C=1871;O=32;E=8.16;R=3.92;rawP=3.65e-11;adjP=1.51e-08
hsa_TGACCTY_V$ERR1_Q2 23 3589 254428 54715 9252 23002 143279 6945 783 83547 10939 7170 284161 23108 3752 55259 8165 26234 390 2252 9266 658 11112 478 C=1023;O=23;E=4.46;R=5.16;rawP=1.58e-10;adjP=3.28e-08
hsa_GGGAGGRR_V$MAZ_Q6 30 8091 3589 9679 5116 389 254428 54715 91252 9520 79979 9252 6523 23002 488 783 800 221477 1620 7170 55565 284161 83539 23224 6920 27244 51176 80344 2252 23187 478 C=2250;O=30;E=9.81;R=3.06;rawP=4.85e-08;adjP=6.71e-06
hsa_CAGCTG_V$AP4_Q5 23 8091 3589 54715 23002 143279 8988 4162 5255 783 282973 8574 65268 1620 7170 8301 222236 51176 90523 8707 2252 5527 23187 115286 C=1502;O=23;E=6.55;R=3.51;rawP=1.95e-07;adjP=2.02e-05
hsa_CAGGTG_V$E12_Q6 30 9679 284716 9520 23002 143279 4162 783 9687 54414 65268 7170 55565 142685 83539 23108 23224 5151 3752 2316 1832 8301 8165 23576 51176 2252 6713 221035 9266 658 8395 C=2450;O=30;E=10.68;R=2.81;rawP=3.02e-07;adjP=2.51e-05
hsa_V$SRF_C 9 29995 4162 800 9260 7170 2274 87 2316 7041 C=209;O=9;E=0.91;R=9.88;rawP=3.91e-07;adjP=2.70e-05
hsa_V$SRF_Q5_01 9 800 9260 7170 87 2316 8301 90523 2252 7041 C=218;O=9;E=0.95;R=9.47;rawP=5.56e-07;adjP=3.15e-05
hsa_TGCCAAR_V$NF1_Q6 15 8091 9679 54715 9252 4507 143279 8988 783 800 1620 7170 55565 51176 8707 79442 C=709;O=15;E=3.09;R=4.85;rawP=6.07e-07;adjP=3.15e-05
hsa_V$YY1_01 9 54894 284273 783 800 7170 87 23576 90523 5527 C=245;O=9;E=1.07;R=8.43;rawP=1.47e-06;adjP=6.78e-05
hsa_GGGCGGR_V$SP1_Q6 31 3589 5116 54677 254428 54715 6662 130617 9520 641 284273 23002 29904 6945 5255 139065 8574 9260 83547 6920 87 3752 2316 143879 27244 1832 8301 9317 64793 81 9266 7041 C=2891;O=31;E=12.60;R=2.46;rawP=3.08e-06;adjP=0.0001


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).