cid 1eb578afd8ce1e354b863ee04cd26dd7347068ed43a347d22d3927be35d1dcd6 · original · open access · via openalex
Title: Accurate and Sensitive Peptide Identification with Mascot Percolator Authors: Markus Brosch; Lu Yu; Tim Hubbard; Jyoti Sharma Choudhary Venue: Journal of Proteome Research Year: 2009 Canonical: doi:10.1021/pr800982s URL: https://doi.org/10.1021/pr800982s Collector: openalex OA: true ABSTRACT Sound scoring methods for sequence database search algorithms such as Mascot and Sequest are essential for sensitive and accurate peptide and protein identifications from proteomic tandem mass spectrometry data. In this paper, we present a software package that interfaces Mascot with Percolator, a well performing machine learning method for rescoring database search results, and demonstrate it to be amenable for both low and high accuracy mass spectrometry data, outperforming all available Mascot scoring schemes as well as providing reliable significance measures. Mascot Percolator can be readily used as a stand alone tool or integrated into existing data analysis pipelines.