MARLOWE
downstream-application · Probabilistic taxonomy classifier
MARLOWE: downstream-application · Probabilistic taxonomy classifier. Computational tool that takes de novo-sequenced peptides from mass spectra of an unknown biological sample and returns a ranked, probabilistic list of source organisms…
Computational tool that takes de novo-sequenced peptides from mass spectra of an unknown biological sample and returns a ranked, probabilistic list of source organisms, aimed at forensic biothreat and biodiversity casework.
| Kind | downstream-application |
| Acquisition | DDA |
| Family | Probabilistic taxonomy classifier |
| Application area | Forensics |
Data
What the papers describing this method trained it on and reported its results on, as each paper states it. A version is named only where the paper names one.
Also used, purpose not recorded
- Identification of type strain-specific diagnostic peptides of the Bacillus cereus group (as deposited) · 2025 preprint
- PNNL Biodiversity Library - Microbial Section (as deposited) · 2025 preprint
- PXD001860 (as deposited) · 2025 preprint
Papers describing it (2)
- MARLOWE: An Untargeted Proteomics, Statistical Approach to Taxonomic Classification for Forensics (2025, Journal of Proteome Research, peer-reviewed)
- MARLOWE: Taxonomic Characterization of Unknown Samples for Forensics Using De Novo Peptide Identification (2025, bioRxiv, preprint)