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=0.63; R=3.18; rawP=0.1298; adjP=0.1298
Index UserID Value Gene Symbol Gene Name EntrezGene Ensembl
1  ENSG00000213760 NA ATP6V1G2 ATPase, H+ transporting, lysosomal 13kDa, V1 subunit G2 534 ENSG00000213760
2  ENSG00000143753 NA DEGS1 delta(4)-desaturase, sphingolipid 1 8560 ENSG00000143753





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).