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$SP1_Q6 57 126393 1173 4771 115704 118881 1674 57410 322 10554 10519 8270 10211 29924 27129 1389 3163 91582 7376 26262 65992 2314 57060 79016 10209 1785 26155 191 215 5499 84279 28511 8463 27429 7709 22913 84315 10589 7332 131474 9513 3757 1140 130888 84759 127687 60685 9817 80198 51082 112936 55625 3145 3159 25912 4793 84232 3315 C=2891;O=57;E=17.16;R=3.32;rawP=6.71e-16;adjP=2.66e-13
hsa_GGGAGGRR_V$MAZ_Q6 41 115704 1674 64837 322 10554 54890 29924 54949 1389 5585 10121 23382 55969 57060 79016 10209 5499 27112 54926 8463 7709 22913 80318 7332 9513 130888 27013 3757 7982 2767 127687 60685 51082 26112 27254 7580 3159 25912 2101 3315 53834 C=2250;O=41;E=13.36;R=3.07;rawP=1.66e-10;adjP=3.30e-08
hsa_RCGCANGCGY_V$NRF1_Q6 24 26052 113829 51389 54890 23399 10121 10809 10209 7283 10113 7709 131474 4141 9513 27013 84759 5605 64943 64979 60685 369 112936 203260 55210 C=894;O=24;E=5.31;R=4.52;rawP=1.04e-09;adjP=1.38e-07
hsa_SCGGAAGY_V$ELK1_02 26 4836 29924 54949 51645 54662 91582 7376 5886 64400 8824 26155 84279 28511 10726 4141 130888 84759 4140 127687 22827 60685 29101 6992 6949 4793 55216 C=1176;O=26;E=6.98;R=3.72;rawP=1.13e-08;adjP=1.12e-06
hsa_TGACAGNY_V$MEIS1_01 20 26052 1173 4771 1674 29984 322 27129 1389 10121 64400 3705 57060 10930 84279 10970 7709 84315 3757 127687 8291 C=819;O=20;E=4.86;R=4.11;rawP=1.26e-07;adjP=1.00e-05
hsa_V$E2F1_Q3_01 11 54949 5886 26001 5499 1209 10076 9513 22827 51082 3145 25912 C=245;O=11;E=1.45;R=7.56;rawP=2.92e-07;adjP=1.93e-05
hsa_TAANNYSGCG_UNKNOWN 7 64837 5886 28511 92856 3757 84759 25912 C=80;O=7;E=0.47;R=14.74;rawP=5.25e-07;adjP=2.98e-05
hsa_TGANTCA_V$AP1_C 22 4836 126393 1173 1674 54949 10861 10755 27129 51313 5585 6697 215 54926 7277 10076 131474 3757 10897 64208 26037 8291 3159 C=1104;O=22;E=6.55;R=3.36;rawP=9.09e-07;adjP=4.51e-05
hsa_CAGGTG_V$E12_Q6 35 29984 54949 10755 23399 1389 11145 5585 2314 3705 64400 57060 10930 27112 8463 7277 475 57140 84759 1140 3757 2767 9479 9817 112936 51082 3679 5590 26112 3159 1855 2063 84232 53834 5026 113828 C=2450;O=35;E=14.54;R=2.41;rawP=1.46e-06;adjP=6.44e-05
hsa_V$SP1_Q6_01 10 115704 79724 57410 54949 2314 8463 1209 10589 127687 25912 C=240;O=10;E=1.42;R=7.02;rawP=1.99e-06;adjP=7.90e-05


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).