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

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)

Authors (11)

Fanny Chu, Sarah C. Jenson, Anthony S. Barente, Natalie C. Heller, Eric D. Merkley, Kristin H. Jarman, Gelio Alves, Aleksey Y. Ogurtsov, Dustin L. Crockett, Natalie C. Heller-Lamar, Yi-Kuo Yu

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