- ORCID iD
- 0000-0003-2584-4034
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Rescoring peptide-to-spectrum-matches based on predicted fragment ion intensities leads to an increased identification rate in metaproteomics
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- Journal Article
- A1
- open access
Accurate peptide fragmentation predictions allow data driven approaches to replace and improve upon proteomics search engine scoring functions
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Data-driven approaches for improved mass spectrometry-based analyte identification
(2019) -
Data-driven rescoring of metabolite annotations significantly improves sensitivity
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Open-source, platform-independent library and online scripting environment for accessing thermo scientific RAW files