Enrichment Analysis?

How to use

1. Paste your gene symbols into the box below (separated by commas, spaces, tabs or new lines), upload a .txt/.csv file, or click one of the example links to try it out.
2. Select the Organism if your genes aren't human — non-human symbols are automatically mapped to their human orthologs before analysis.
3. Tissue is only used by Tissue Specific Pathway Enrichment (and is required for it); Disease Names (merged or original) only by the two Disease Enrichment analyses.
4. Click one of the five analysis buttons. A new tab first shows which of your genes were recognized and which weren't; click Proceed to see the results.

What you get

• Pathway Enrichment: a bar chart of KEGG pathways significantly enriched in your gene list — by default those with a Benjamini–Hochberg adjusted p-value (q-value) below 0.05 — ranked most-significant first and color-coded by significance. You can switch the filter to the raw p-value.
• A results table listing each enriched pathway name, the matched genes (linked to their gene pages), the gene overlap ratio (matched genes ÷ total genes in that pathway), the hypergeometric p-value, the fold enrichment and the q-value.
• Checkboxes to select pathways of interest and run a gene network analysis on them.
• Download buttons to export the results table as CSV or PDF, and the chart as PNG or JPEG.

The other analyses

• Disease Enrichment (Genes): the same test against each disease's gene set instead of KEGG pathways.
• Disease Enrichment (Gene Ontologies): compares the GO Biological Process terms of your genes with each disease's terms; because GO terms overlap, treat its p- and q-values as a similarity score for ranking diseases.
• Tissue Specific Pathway Enrichment: pathway enrichment using only the KEGG genes expressed in the chosen tissue.
• Domain Enrichment: which Pfam protein domains are over-represented among your genes.