A predictive model for identifying proteins by a single peptide match

Volume: 23, Issue: 3, Pages: 277 - 280
Published: Nov 22, 2006
Abstract
Tandem mass-spectrometry of trypsin digests, followed by database searching, is one of the most popular approaches in high-throughput proteomics studies. Peptides are considered identified if they pass certain scoring thresholds. To avoid false positive protein identification, > or = 2 unique peptides identified within a single protein are generally recommended. Still, in a typical high-throughput experiment, hundreds of proteins are identified...
Paper Details
Title
A predictive model for identifying proteins by a single peptide match
Published Date
Nov 22, 2006
Volume
23
Issue
3
Pages
277 - 280
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