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J Proteome Res. 2008 Sep;7(9):3661-7. doi: 10.1021/pr070492f. Epub 2008 Aug 14.

Nonlinear fitting method for determining local false discovery rates from decoy database searches.

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1
Applied Biosystems | MDS Analytical Technologies, Foster City, CA 94404, USA.

Abstract

False discovery rate (FDR) analyses of protein and peptide identification results using decoy database searching conventionally report aggregate or global FDRs for a whole set of identifications, which are often not very informative about the error rates of individual members in the set. We describe a nonlinear curve fitting method for calculating the local FDR, which estimates the chance that an individual protein (or peptide) is incorrect, and present a simple tool that implements this analysis. The goal of this method is to offer a simple extension to the now commonplace decoy database searching, providing additional valuable information.

PMID:
18700793
DOI:
10.1021/pr070492f
[Indexed for MEDLINE]

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