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)