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Anthony S Barente on Muck Rack

Anthony S Barente

As seen in: Nature, ACS Publications, BioRxiv
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Articles

MARLOWE: taxonomic characterization of unknown samples for forensics using de novo peptide identification

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By Sarah Jenson, Fanny Chu, Gelio Alves, Aleksey Y. Ogurtsov, Anthony S Barente, Dustin L. Crockett, Natalie LaMar, Eric Merkley, Yi-Kuo Yu, Kristin H. Jarman
| Nature Verified
Abstract We present a computational tool, MARLOWE, for source organism characterization of unknown, forensic biological samples. The intent of MARLOWE is to address a gap in applying proteomics data analysis to forensic applications. MARLOWE produces a list of potential source organisms given confident peptide tags derived from de novo peptide sequencing and a statistical approach to assign peptides to organisms in a probabilistic manner, based on a broad sequence database.
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MARLOWE: An Untargeted Proteomics, Statistical Approach to Taxonomic Classification for Forensics

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By Fanny Chu, Sarah C. Jenson, Anthony S Barente, Natalie Heller
| ACS Publications
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MARLOWE: An Untargeted Proteomics, Statistical Approach to Taxonomic Classification for Forensics

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By Fanny Chu, Sarah C. Jenson, Anthony S Barente, Natalie Heller
| dx.doi.org
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