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: .05, 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_SCGGAAGY_V$ELK1_02 8 1376 55172 8800 23417 221786 79184 84930 788 C=1176;O=8;E=1.47;R=5.43;rawP=0.0001;adjP=0.0041
hsa_V$PPAR_DR1_Q2 4 284723 57104 3158 37 C=257;O=4;E=0.32;R=12.43;rawP=0.0003;adjP=0.0062
hsa_GGATTA_V$PITX2_Q2 5 55172 10449 4217 11082 37 C=582;O=5;E=0.73;R=6.86;rawP=0.0008;adjP=0.0109
hsa_V$CRX_Q4 3 10449 11082 37 C=266;O=3;E=0.33;R=9.01;rawP=0.0046;adjP=0.0314
hsa_V$COUP_DR1_Q6 3 2110 57104 3158 C=246;O=3;E=0.31;R=9.74;rawP=0.0037;adjP=0.0314
hsa_V$AP4_Q6_01 3 90523 4669 23417 C=252;O=3;E=0.32;R=9.51;rawP=0.0039;adjP=0.0314
hsa_GCANCTGNY_V$MYOD_Q6 5 90523 57104 4669 23417 4217 C=913;O=5;E=1.14;R=4.37;rawP=0.0056;adjP=0.0328


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).