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

The results for each enriched gene sets are listed in this table.
For each gene set, the first row lists database name, gene set name , and corresponding gene set ID.
The second row lists the following statistics:
Finally, genes in the pathway are listed. For each gene, the table lists the user uploaded ID and value (optional), Entrez ID, Ensembl Gene Stable ID, Gene symbol, and description. Ensembl Gene Stable ID and Entrez Gene ID are linked to the Ensembl and Entrez Gene databases, respectively.

Database:KEGG pathway       Name:Metabolic pathways       ID:01100
C=1130; O=2; E=0.81; R=2.46; rawP=0.1947; adjP=0.1947
Index UserID Value Gene Symbol Gene Name EntrezGene Ensembl
1  ENSG00000160200 NA CBS cystathionine-beta-synthase 875 ENSG00000160200
2  ENSG00000174684 NA B3GNT1 UDP-GlcNAc:betaGal beta-1,3-N-acetylglucosaminyltransferase 1 11041 ENSG00000174684





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).