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Published September 11, 2019 | Version 0
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Comparison of phosphoproteomics data analysis pipelines: search engines and localization scoring algorithms

Authors/Creators

  • 1. Novo Nordisk Foundation Center for Protein Research, University of Copenhagen, Denmark

Description

Here are the scripts associated with the manuscript "Comparison of phosphoproteomics data analysis pipelines: search engines and localization scoring algorithms" where  we compared pipelines implemented in the main software used for bottom-up phosphoproteomics analysis (MaxQuant, Proteome Discoverer, PeptideShaker). We tested six search engines (Andromeda, Comet, Mascot, MS Amanda, SequestHT, X!Tandem) in combination with several localization scoring algorithms (delta scores, D-scores, PTM-score, phosphoRS, Ascore) on two published data sets. We compared their performances, and estimated which false localization rate these thresholds translate to across the different analysis pipelines. 

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Locard-Paulet_2019.zip

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