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MetaNovo: An open-source pipeline for probabilistic peptide discovery in complex metaproteomic datasets

Fig 5

Percentages of misassigned peptides for all three 9MM runs.

A. MetaNovo originally yielded a very high percentage of misassigned peptides at species level UniPept pept2lca analysis. B. Taxonomic breakdown of misassigned peptides C. Re-analysis after inclusion of plausible taxa yielded a species-level misassignment rate of only 1.04%, with 0% error for all approaches at genus and family level using the 0.5% taxon-specific peptide stringency cutoff. D. 9 Acidobacteria bacterium peptides making up the final misassignment percentage of MetaNovo.

Fig 5

doi: https://doi.org/10.1371/journal.pcbi.1011163.g005