Peptide data input


Note: Your database must be comma separated (.csv) where the first column is the peptide sequence the second column is the KO term, and the third column is the number of times that peptide was annotated with the KO term.






Editing sample names and conditions

About pepFunk, a metaproteomic peptide-centric functional enrichment workflow.

Welcome to pepFunk!
pepFunk allows you to complete a peptide-focused functional enrichment workflow for gut microbiome metaproteomic studies. This workflow uses KEGG annotation for pathway enrichment, alongside Gene Set Variation Analysis (GSVA) adapted for peptide data. By completing analysis on peptides, rather than proteins, we lose less information and retain more statistical power. We curated peptide database specific to human gut microbiome studies for computational speed.