MARLOWE: taxonomic characterization of unknown samples for forensics using de novo peptide identification
- DOI
- 10.1038/s41598-026-50102-3
- Published
- 2026-08-20
- Container
- Scientific Reports
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-026-50102-3,
title = {MARLOWE: taxonomic characterization of unknown samples for forensics using de novo peptide identification},
author = {Sarah C. Jenson and Fanny Chu and Gelio Alves and Aleksey Y. Ogurtsov and Anthony S. Barente and Dustin L. Crockett and Natalie C. Lamar and Eric D. Merkley and Yi-Kuo Yu and Kristin H. Jarman},
year = {2026},
journal = {Scientific Reports},
doi = {10.1038/s41598-026-50102-3},
url = {https://doi.org/10.1038/s41598-026-50102-3}
}RIS
TY - JOUR TI - MARLOWE: taxonomic characterization of unknown samples for forensics using de novo peptide identification AU - Sarah C. Jenson AU - Fanny Chu AU - Gelio Alves AU - Aleksey Y. Ogurtsov AU - Anthony S. Barente AU - Dustin L. Crockett AU - Natalie C. Lamar AU - Eric D. Merkley AU - Yi-Kuo Yu AU - Kristin H. Jarman PY - 2026 JO - Scientific Reports DO - 10.1038/s41598-026-50102-3 UR - https://doi.org/10.1038/s41598-026-50102-3 ER -
APA
Jenson, S. C., Chu, F., Alves, G., Ogurtsov, A. Y., Barente, A. S., Crockett, D. L., Lamar, N. C., Merkley, E. D., Yu, Y., & Jarman, K. H. (2026). MARLOWE: taxonomic characterization of unknown samples for forensics using de novo peptide identification. Scientific Reports. https://doi.org/10.1038/s41598-026-50102-3
Source records
- crossref · retrieved 2026-09-25T11:29:50.785Z