FPF

Isobaric labeling relative quantitation is one of the dominating proteomic quantitation technologies. Traditional quantitation pipelines for isobaric-labeled MS data are based on sequence database searching. We present a novel quantitation pipeline which integrates sequence database searching, spectral library searching, and a feature-based peptide-spectrum-match (PSM) filter (FPF) using various spectral features for filtering. The combined database and spectral library searching results in larger quantitation coverage, and the filter removes PSMs of larger quantitation error, retaining those of higher quantitation accuracy. The proposed pipeline is fully compatible with the Trans-Proteomic Pipeline and can be executed on Windows, Linux, and MacOS platforms.