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 71 6181 6235 6156 6193 6147 6218 6135 6217 6141 6134 6194 6168 6227 6222 6207 6159 7311 11224 6230 6160 6169 6232 6142 4736 6203 3921 6191 6167 6165 6201 6233 6208 6176 9045 6146 6188 2197 6224 6202 6209 6187 6138 6125 23521 6164 6137 9349 6170 6205 6155 6143 6154 6166 6171 6132 6129 6128 6229 6157 6175 25873 6189 6130 6136 6161 6158 6210 6223 6206 6152 6124 C=92;O=71;E=0.41;R=173.35;rawP=1.07e-153;adjP=1.82e-152
Spliceosome 7 57819 3178 25804 10465 84844 11157 153527 C=127;O=7;E=0.57;R=12.38;rawP=1.77e-06;adjP=1.50e-05
Protein export 3 23478 23480 90701 C=23;O=3;E=0.10;R=29.30;rawP=0.0001;adjP=0.0006
RNA degradation 4 57819 25804 11157 51013 C=71;O=4;E=0.32;R=12.65;rawP=0.0003;adjP=0.0013
Ribosome biogenesis in eukaryotes 4 84128 2091 55651 51602 C=80;O=4;E=0.36;R=11.23;rawP=0.0005;adjP=0.0017
Pentose phosphate pathway 2 51071 6888 C=27;O=2;E=0.12;R=16.64;rawP=0.0064;adjP=0.0123
Purine metabolism 4 3251 3615 30834 56655 C=162;O=4;E=0.72;R=5.55;rawP=0.0061;adjP=0.0123
Protein processing in endoplasmic reticulum 4 7353 6748 23480 7324 C=165;O=4;E=0.73;R=5.45;rawP=0.0065;adjP=0.0123
RNA transport 4 8487 8890 8668 8664 C=151;O=4;E=0.67;R=5.95;rawP=0.0048;adjP=0.0123
Nucleotide excision repair 2 1022 56655 C=44;O=2;E=0.20;R=10.21;rawP=0.0165;adjP=0.0280



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).