Skip to main content
Figure 1 | BMC Bioinformatics

Figure 1

From: Computational approaches to protein inference in shotgun proteomics

Figure 1

Summary of peptide identification results over five data sets using a false discovery rate of 0.01 and a reversed database. (A) Percentage of identified peptides per protein in each sample; (B) percentage of degenerate peptides in each sample; (C) Percentage of all proteins hit by at least one unique peptide, calculated as the number of proteins with at least one unique peptide divided by the number of all proteins hit by at least one peptide; (D) Percentage of protein groups of a particular size, where groups consist of proteins identified by the same set of peptides. The number of identified peptides and proteins in each sample were as follows: (3006, 1898) in human cell line; (700, 390) in human plasma; (5062, 4331) in mouse liver; (4012, 1154) in yeast; and (969, 368) in D. radiodurans. Peptide identifications correspond to charges +1, +2, and +3, combined.

Back to article page
\