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 KEGG pathways, number of Entrez IDs in your user data set for the pathway, the corresponding Entrez IDs, and the statistics for the enriched pathway.
The statistic column lists:
Finally, the pathway name is linked to KEGG where the user ids are highlighted, 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.

PathwayName #Gene EntrezGene Statistics
Ribosome 69 6181 6235 6193 6156 6147 6135 6141 6217 6134 6194 6227 6168 6222 6207 6159 7311 11224 6230 6160 6169 6142 6232 4736 6203 3921 6191 6167 6201 6233 6208 6176 9045 6146 6188 6202 6224 6209 6187 6138 6125 23521 6164 6137 51187 9349 6170 6205 6155 6143 6154 6166 6128 6129 6132 6171 6229 6157 6175 25873 6189 6130 6136 6161 6158 6210 6223 6206 6152 6124 C=92;O=69;E=0.40;R=172.05;rawP=2.15e-148;adjP=3.44e-147
Spliceosome 6 3178 6636 10465 6635 6633 51690 C=127;O=6;E=0.55;R=10.84;rawP=2.11e-05;adjP=0.0002
Wnt signaling pathway 4 1460 8322 57680 7976 C=150;O=4;E=0.65;R=6.12;rawP=0.0043;adjP=0.0152
RNA degradation 3 54512 51013 51690 C=71;O=3;E=0.31;R=9.69;rawP=0.0037;adjP=0.0152
Purine metabolism 4 3615 2987 4882 84618 C=162;O=4;E=0.71;R=5.66;rawP=0.0057;adjP=0.0152
Ribosome biogenesis in eukaryotes 3 84128 1460 2091 C=80;O=3;E=0.35;R=8.60;rawP=0.0052;adjP=0.0152
Primary immunodeficiency 2 5993 7374 C=35;O=2;E=0.15;R=13.11;rawP=0.0102;adjP=0.0233
Basal cell carcinoma 2 8322 7976 C=55;O=2;E=0.24;R=8.34;rawP=0.0241;adjP=0.0428
Drug metabolism - other enzymes 2 3615 1066 C=52;O=2;E=0.23;R=8.82;rawP=0.0217;adjP=0.0428
Melanogenesis 2 8322 7976 C=101;O=2;E=0.44;R=4.54;rawP=0.0721;adjP=0.1154



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).