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_YTATTTTNR_V$MEF2_02 18 163732 2257 55690 79641 364 140885 2892 3298 4130 4185 10507 5396 655 10472 30819 2115 9240 8745 C=691;O=18;E=2.37;R=7.59;rawP=3.47e-11;adjP=1.43e-08
hsa_TGGAAA_V$NFAT_Q4_01 27 116154 4052 55349 79190 2257 22864 145773 989 30011 2892 7474 9421 25816 1896 5396 10507 153562 10745 361 79720 261729 6386 10472 221002 30819 2115 59272 C=1871;O=27;E=6.42;R=4.21;rawP=2.42e-10;adjP=4.99e-08
hsa_GGGTGGRR_V$PAX4_03 21 116154 5837 115650 79190 57142 55825 989 252995 79641 1915 2892 7474 9873 1896 4130 5396 255189 4185 655 361 116138 C=1278;O=21;E=4.39;R=4.79;rawP=3.20e-09;adjP=4.39e-07
hsa_GGGCGGR_V$SP1_Q6 31 81577 163732 115650 4240 2257 57142 221935 292 10654 1915 30011 140885 7474 245806 5875 56924 25816 4130 2875 1896 5396 84446 655 10745 388531 221002 30819 2115 57524 116138 8745 C=2891;O=31;E=9.92;R=3.12;rawP=1.20e-08;adjP=1.24e-06
hsa_TTGTTT_V$FOXO4_01 25 29091 4240 55089 2257 51715 23632 221935 79641 2009 140885 7474 56924 8991 9873 636 9421 1896 5396 23446 596 10472 30819 2115 51361 3306 C=2037;O=25;E=6.99;R=3.58;rawP=3.04e-08;adjP=2.50e-06
hsa_CAGGTG_V$E12_Q6 27 116154 4052 79190 2257 57142 221935 145773 989 292 2009 140885 121551 56924 9873 4130 2875 4185 655 84446 23446 596 23208 30819 2115 51361 57524 9331 C=2450;O=27;E=8.41;R=3.21;rawP=7.17e-08;adjP=4.22e-06
hsa_AAAYRNCTG_UNKNOWN 11 4052 2257 989 140885 25816 1896 4133 6386 30819 10472 9331 C=368;O=11;E=1.26;R=8.71;rawP=6.78e-08;adjP=4.22e-06
hsa_TGACCTY_V$ERR1_Q2 17 116154 6461 5837 2257 55690 22864 221935 145773 292 252995 140885 364 9873 4130 261729 30819 59272 C=1023;O=17;E=3.51;R=4.84;rawP=9.68e-08;adjP=4.99e-06
hsa_GCANCTGNY_V$MYOD_Q6 15 116154 2257 292 252995 1915 4130 1896 4185 79007 23446 83938 10472 221002 2115 9240 C=913;O=15;E=3.13;R=4.79;rawP=6.63e-07;adjP=3.04e-05
hsa_CAGCTG_V$AP4_Q5 19 4052 5837 29091 2257 10763 989 252995 121551 56924 4130 79007 23446 30819 221002 10472 2115 51361 9240 57524 C=1502;O=19;E=5.15;R=3.69;rawP=1.05e-06;adjP=4.33e-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).