Published September 11, 2019 | Version 2
Other Open

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. 

Files

Locard-Paulet_2019_V2.zip

Files (360.3 MB)

Name Size Download all
md5:c0758b4f8fa004de21331884c357ae0a
360.3 MB Preview Download

Additional details

Related works

Is supplement to
Journal article: 10.1021/acs.jproteome.9b00679 (DOI)