Academic Journal
Προβολή σε EDS
Συνδεδεμένο Πλήρες Κείμενο

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

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: MARLOWE: taxonomic characterization of unknown samples for forensics using de novo peptide identification.
Συγγραφείς: Jenson SC; Chemical and Biological Signatures Group, Pacific Northwest National Laboratory, Richland, WA, 99352, USA., Chu F; Chemical and Biological Signatures Group, Pacific Northwest National Laboratory, Richland, WA, 99352, USA. fanny.chu@pnnl.gov., Alves G; Division of Intramural Research, National Library of Medicine, National Institutes of Health, Bethesda, MD, 20854, USA., Ogurtsov AY; Division of Intramural Research, National Library of Medicine, National Institutes of Health, Bethesda, MD, 20854, USA., Barente AS; Chemical and Biological Signatures Group, Pacific Northwest National Laboratory, Richland, WA, 99352, USA.; Department of Genome Sciences, University of Washington, Seattle, WA, 98194, USA., Crockett DL; Applied Decisions Systems and Analytics, Group, Pacific Northwest National Laboratory, Richland, WA, 99352, USA., Lamar NC; Applied Statistics and Computational Modeling Group, Pacific Northwest National Laboratory, Richland, WA, 99352, USA., Merkley ED; Chemical and Biological Signatures Group, Pacific Northwest National Laboratory, Richland, WA, 99352, USA., Yu YK; Division of Intramural Research, National Library of Medicine, National Institutes of Health, Bethesda, MD, 20854, USA., Jarman KH; Chemical and Biological Signatures Group, Pacific Northwest National Laboratory, Richland, WA, 99352, USA.; Karius Inc., 975 Island Dr., Suite 101, Redwood City, CA, 94065, USA.
Πηγή: Scientific reports [Sci Rep] 2026 Aug 20; Vol. 16 (1). Date of Electronic Publication: 2026 Aug 20.
Τύπος έκδοσης: Journal Article; Research Support, U.S. Gov't, Non-P.H.S.
Γλώσσα: English
Στοιχεία περιοδικού: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE
Imprint Name(s): Original Publication: London : Nature Publishing Group, copyright 2011-
Ιατρικοί όροι (MeSH): Peptides*/analysis , Proteomics*/methods , Forensic Sciences*/methods , Computational Biology*/methods , Software*, Bacillus cereus/classification ; Algorithms ; Biodiversity
Περίληψη: 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. Except for the constraints of this underlying broad sequence database, the algorithm assumes no a priori knowledge of potential sources, and the probabilistic way peptides are taxonomically assigned and then scored enables results to be unbiased (within the constraints of the sequence database). In a proof-of-concept study, we examined MARLOWE's performance on two datasets, the Biodiversity dataset and the Bacillus cereus superspecies dataset. Not only did MARLOWE demonstrate successful characterization to true contributors in single source and binary mixtures in the Biodiversity dataset, but also provided sufficient specificity to distinguish species within a bacterial superspecies group. We also compared MARLOWE's results to those of MiCId, a leading microbial identification/characterization tool based on proteomics database search. Comparison of the two tools using 225 mass spectrometry data files yielded comparable performance, with slightly higher accuracy and specificity for MiCId. At the species level, MARLOWE achieved a specificity of 91.4% at 5% FDR. These results suggest that MARLOWE is suitable for candidate- or lead-generation identification of single-organism and binary samples that can generate forensic leads and aid in selecting appropriate follow-on analyses in a forensic context.
(© 2026. Battelle Memorial Institute. Parts of this work were authored by US Federal Government authors and are not under copyright protection in the US; foreign copyright protection may apply.)
Competing Interests: Declarations. Competing interests: The authors declare no competing interests.
Σχόλια: Update of: bioRxiv. 2025 Jun 02:2024.09.30.615220. doi: 10.1101/2024.09.30.615220.. (PMID: 40501933)
References: Nucleic Acids Res. 2016 Jan 4;44(D1):D447-56. (PMID: 26527722)
J Proteome Res. 2018 Sep 7;17(9):3075-3085. (PMID: 30109807)
Mol Cell Probes. 2014 Apr-Jun;28(2-3):65-72. (PMID: 24333237)
PLoS Comput Biol. 2023 Jun 16;19(6):e1011163. (PMID: 37327214)
Mol Cell Proteomics. 2017 Jun;16(6):1052-1063. (PMID: 28420677)
J Proteome Res. 2022 Aug 5;21(8):2023-2035. (PMID: 35793793)
J Am Soc Mass Spectrom. 2018 Aug;29(8):1721-1737. (PMID: 29873019)
Nat Commun. 2022 May 5;13(1):2458. (PMID: 35513387)
Sci Rep. 2021 May 25;11(1):10900. (PMID: 34035355)
Bioinformatics. 2014 Jun 15;30(12):i149-56. (PMID: 24931978)
Proteomics. 2007 Nov;7(21):3932-42. (PMID: 17922518)
J Proteome Res. 2010 Apr 5;9(4):1716-26. (PMID: 20131910)
Toxins (Basel). 2011 Oct;3(10):1332-72. (PMID: 22069699)
Database (Oxford). 2020 Jan 1;2020:. (PMID: 32761142)
Sci Rep. 2015 Sep 16;5:14082. (PMID: 26373441)
Environ Microbiol. 2022 Sep;24(9):4299-4316. (PMID: 35506300)
Toxins (Basel). 2018 Feb 28;10(3):. (PMID: 29495560)
Sci Adv. 2021 Jan 15;7(3):. (PMID: 33523896)
Nucleic Acids Res. 2017 Jan 4;45(D1):D1100-D1106. (PMID: 27924013)
Brief Bioinform. 2018 Sep 28;19(5):954-970. (PMID: 28369237)
Cell Syst. 2021 May 19;12(5):375-383.e5. (PMID: 34023022)
J Comput Biol. 2024 Feb;31(2):175-178. (PMID: 38301204)
Sci Rep. 2019 May 21;9(1):7641. (PMID: 31113963)
Forensic Sci Int Genet. 2021 Sep;54:102529. (PMID: 34139528)
Microbiol Spectr. 2019 May;7(3):. (PMID: 31111815)
J Infect. 2024 Jan;88(1):61-62. (PMID: 37907136)
Forensic Sci Int Genet. 2022 Sep;60:102742. (PMID: 35772265)
J Forensic Sci. 2021 May;66(3):1017-1023. (PMID: 33289932)
Sci Data. 2015 Aug 18;2:150041. (PMID: 26306205)
Mol Cell Proteomics. 2020 Mar;19(3):518-528. (PMID: 31941798)
J Proteome Res. 2025 Mar 07;24(3):995-1007. (PMID: 39898467)
J Am Soc Mass Spectrom. 2024 Jun 5;35(6):1138-1155. (PMID: 38740383)
J Am Soc Mass Spectrom. 2020 Jan 2;31(1):85-102. (PMID: 32881514)
Forensic Sci Int Genet. 2021 Jan;50:102405. (PMID: 33152624)
Forensic Sci Int. 2019 Apr;297:350-363. (PMID: 30929674)
Proteomics. 2015 Apr;15(8):1437-42. (PMID: 25477242)
J Am Soc Mass Spectrom. 2015 Nov;26(11):1885-94. (PMID: 26122521)
Protein Sci. 2020 Sep;29(9):1864-1878. (PMID: 32713088)
Nat Commun. 2024 Jul 30;15(1):6427. (PMID: 39080256)
J Proteome Res. 2016 Sep 2;15(9):3098-107. (PMID: 27432653)
Toxicon. 2017 Dec 15;140:18-31. (PMID: 29031940)
Microbiome. 2020 Mar 6;8(1):30. (PMID: 32143687)
J Am Soc Mass Spectrom. 2016 Feb;27(2):194-210. (PMID: 26510657)
Comput Struct Biotechnol J. 2023 Jan 16;21:1140-1150. (PMID: 36817962)
Front Cell Infect Microbiol. 2021 Jul 26;11:634215. (PMID: 34381737)
Rapid Commun Mass Spectrom. 2003;17(20):2337-42. (PMID: 14558135)
Proteomics. 2018 Sep;18(18):e1700150. (PMID: 29968278)
mBio. 2016 Sep 20;7(5):. (PMID: 27651357)
Nat Biotechnol. 2019 Apr;37(4):469-479. (PMID: 30936560)
Biol Direct. 2007 Oct 25;2:25. (PMID: 17961253)
Grant Information: HSHQPM16X00216 U.S. Department of Homeland Security
Contributed Indexing: Keywords: De novo sequence tags; Forensic proteomics; Mass spectrometry; Metaproteomics; Strong peptides
Substance Nomenclature: 0 (Peptides)
Entry Date(s): Date Created: 20260820 Date Completed: 20260820 Latest Revision: 20260825
Update Code: 20260825
PubMed Central ID: PMC13494011
DOI: 10.1038/s41598-026-50102-3
PMID: 42624859
Βάση Δεδομένων: MEDLINE
FullText Links:
  – Type: other
    Url: https://resolver.ebsco.com:443/public/rma-ftfapi/ejs/direct?AccessToken=4032A3B278910F90B830&Show=Object
Text:
  Availability: 0
CustomLinks:
  – Url: https://dx.doi.org/doi:10.1038/s41598-026-50102-3
    Name: EDS - Springer Nature Journals (s7799221)
    Category: fullText
    Text: View record at Springer
Header DbId: cmedm
DbLabel: MEDLINE
An: 42624859
AccessLevel: 3
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: MARLOWE: taxonomic characterization of unknown samples for forensics using de novo peptide identification.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Jenson+SC%22">Jenson SC</searchLink>; Chemical and Biological Signatures Group, Pacific Northwest National Laboratory, Richland, WA, 99352, USA.<br /><searchLink fieldCode="AU" term="%22Chu+F%22">Chu F</searchLink>; Chemical and Biological Signatures Group, Pacific Northwest National Laboratory, Richland, WA, 99352, USA. fanny.chu@pnnl.gov.<br /><searchLink fieldCode="AU" term="%22Alves+G%22">Alves G</searchLink>; Division of Intramural Research, National Library of Medicine, National Institutes of Health, Bethesda, MD, 20854, USA.<br /><searchLink fieldCode="AU" term="%22Ogurtsov+AY%22">Ogurtsov AY</searchLink>; Division of Intramural Research, National Library of Medicine, National Institutes of Health, Bethesda, MD, 20854, USA.<br /><searchLink fieldCode="AU" term="%22Barente+AS%22">Barente AS</searchLink>; Chemical and Biological Signatures Group, Pacific Northwest National Laboratory, Richland, WA, 99352, USA.; Department of Genome Sciences, University of Washington, Seattle, WA, 98194, USA.<br /><searchLink fieldCode="AU" term="%22Crockett+DL%22">Crockett DL</searchLink>; Applied Decisions Systems and Analytics, Group, Pacific Northwest National Laboratory, Richland, WA, 99352, USA.<br /><searchLink fieldCode="AU" term="%22Lamar+NC%22">Lamar NC</searchLink>; Applied Statistics and Computational Modeling Group, Pacific Northwest National Laboratory, Richland, WA, 99352, USA.<br /><searchLink fieldCode="AU" term="%22Merkley+ED%22">Merkley ED</searchLink>; Chemical and Biological Signatures Group, Pacific Northwest National Laboratory, Richland, WA, 99352, USA.<br /><searchLink fieldCode="AU" term="%22Yu+YK%22">Yu YK</searchLink>; Division of Intramural Research, National Library of Medicine, National Institutes of Health, Bethesda, MD, 20854, USA.<br /><searchLink fieldCode="AU" term="%22Jarman+KH%22">Jarman KH</searchLink>; Chemical and Biological Signatures Group, Pacific Northwest National Laboratory, Richland, WA, 99352, USA.; Karius Inc., 975 Island Dr., Suite 101, Redwood City, CA, 94065, USA.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22101563288%22">Scientific reports</searchLink> [Sci Rep] 2026 Aug 20; Vol. 16 (1). <i>Date of Electronic Publication: </i>2026 Aug 20.
– Name: TypePub
  Label: Publication Type
  Group: TypPub
  Data: Journal Article; Research Support, U.S. Gov't, Non-P.H.S.
– Name: Language
  Label: Language
  Group: Lang
  Data: English
– Name: TitleSource
  Label: Journal Info
  Group: Src
  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Nature+Publishing+Group%22">Nature Publishing Group </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>101563288 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2045-2322 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2220452322%22">20452322 </searchLink><i>NLM ISO Abbreviation: </i>Sci Rep <i>Subsets: </i>MEDLINE
– Name: PublisherInfo
  Label: Imprint Name(s)
  Group: PubInfo
  Data: <i>Original Publication</i>: London : Nature Publishing Group, copyright 2011-
– Name: SubjectMESH
  Label: MeSH Terms
  Group: Su
  Data: <searchLink fieldCode="MM" term="%22Peptides%22">Peptides*</searchLink>/<searchLink fieldCode="MM" term="%22Peptides+analysis%22">analysis</searchLink> <br /><searchLink fieldCode="MM" term="%22Proteomics%22">Proteomics*</searchLink>/<searchLink fieldCode="MM" term="%22Proteomics+methods%22">methods</searchLink> <br /><searchLink fieldCode="MM" term="%22Forensic+Sciences%22">Forensic Sciences*</searchLink>/<searchLink fieldCode="MM" term="%22Forensic+Sciences+methods%22">methods</searchLink> <br /><searchLink fieldCode="MM" term="%22Computational+Biology%22">Computational Biology*</searchLink>/<searchLink fieldCode="MM" term="%22Computational+Biology+methods%22">methods</searchLink> <br /><searchLink fieldCode="MM" term="%22Software%22">Software*</searchLink><br /><searchLink fieldCode="MH" term="%22Bacillus+cereus%22">Bacillus cereus</searchLink>/<searchLink fieldCode="MH" term="%22Bacillus+cereus+classification%22">classification</searchLink> ; <searchLink fieldCode="MH" term="%22Algorithms%22">Algorithms</searchLink> ; <searchLink fieldCode="MH" term="%22Biodiversity%22">Biodiversity</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: 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. Except for the constraints of this underlying broad sequence database, the algorithm assumes no a priori knowledge of potential sources, and the probabilistic way peptides are taxonomically assigned and then scored enables results to be unbiased (within the constraints of the sequence database). In a proof-of-concept study, we examined MARLOWE's performance on two datasets, the Biodiversity dataset and the Bacillus cereus superspecies dataset. Not only did MARLOWE demonstrate successful characterization to true contributors in single source and binary mixtures in the Biodiversity dataset, but also provided sufficient specificity to distinguish species within a bacterial superspecies group. We also compared MARLOWE's results to those of MiCId, a leading microbial identification/characterization tool based on proteomics database search. Comparison of the two tools using 225 mass spectrometry data files yielded comparable performance, with slightly higher accuracy and specificity for MiCId. At the species level, MARLOWE achieved a specificity of 91.4% at 5% FDR. These results suggest that MARLOWE is suitable for candidate- or lead-generation identification of single-organism and binary samples that can generate forensic leads and aid in selecting appropriate follow-on analyses in a forensic context.<br /> (© 2026. Battelle Memorial Institute. Parts of this work were authored by US Federal Government authors and are not under copyright protection in the US; foreign copyright protection may apply.)
– Name: Abstract
  Label: Competing Interests
  Group: Ab
  Data: Declarations. Competing interests: The authors declare no competing interests.
– Name: Comment
  Label: Comments
  Group: Commnt
  Data: Update of: bioRxiv. 2025 Jun 02:2024.09.30.615220. doi: 10.1101/2024.09.30.615220.. (PMID: <searchLink fieldCode="PM" term="%2240501933%22">40501933)</searchLink>
– Name: Ref
  Label: References
  Group: RefInfo
  Data: Nucleic Acids Res. 2016 Jan 4;44(D1):D447-56. (PMID: <searchLink fieldCode="PM" term="%2226527722%22">26527722)</searchLink><br />J Proteome Res. 2018 Sep 7;17(9):3075-3085. (PMID: <searchLink fieldCode="PM" term="%2230109807%22">30109807)</searchLink><br />Mol Cell Probes. 2014 Apr-Jun;28(2-3):65-72. (PMID: <searchLink fieldCode="PM" term="%2224333237%22">24333237)</searchLink><br />PLoS Comput Biol. 2023 Jun 16;19(6):e1011163. (PMID: <searchLink fieldCode="PM" term="%2237327214%22">37327214)</searchLink><br />Mol Cell Proteomics. 2017 Jun;16(6):1052-1063. (PMID: <searchLink fieldCode="PM" term="%2228420677%22">28420677)</searchLink><br />J Proteome Res. 2022 Aug 5;21(8):2023-2035. (PMID: <searchLink fieldCode="PM" term="%2235793793%22">35793793)</searchLink><br />J Am Soc Mass Spectrom. 2018 Aug;29(8):1721-1737. (PMID: <searchLink fieldCode="PM" term="%2229873019%22">29873019)</searchLink><br />Nat Commun. 2022 May 5;13(1):2458. (PMID: <searchLink fieldCode="PM" term="%2235513387%22">35513387)</searchLink><br />Sci Rep. 2021 May 25;11(1):10900. (PMID: <searchLink fieldCode="PM" term="%2234035355%22">34035355)</searchLink><br />Bioinformatics. 2014 Jun 15;30(12):i149-56. (PMID: <searchLink fieldCode="PM" term="%2224931978%22">24931978)</searchLink><br />Proteomics. 2007 Nov;7(21):3932-42. (PMID: <searchLink fieldCode="PM" term="%2217922518%22">17922518)</searchLink><br />J Proteome Res. 2010 Apr 5;9(4):1716-26. (PMID: <searchLink fieldCode="PM" term="%2220131910%22">20131910)</searchLink><br />Toxins (Basel). 2011 Oct;3(10):1332-72. (PMID: <searchLink fieldCode="PM" term="%2222069699%22">22069699)</searchLink><br />Database (Oxford). 2020 Jan 1;2020:. (PMID: <searchLink fieldCode="PM" term="%2232761142%22">32761142)</searchLink><br />Sci Rep. 2015 Sep 16;5:14082. (PMID: <searchLink fieldCode="PM" term="%2226373441%22">26373441)</searchLink><br />Environ Microbiol. 2022 Sep;24(9):4299-4316. (PMID: <searchLink fieldCode="PM" term="%2235506300%22">35506300)</searchLink><br />Toxins (Basel). 2018 Feb 28;10(3):. (PMID: <searchLink fieldCode="PM" term="%2229495560%22">29495560)</searchLink><br />Sci Adv. 2021 Jan 15;7(3):. (PMID: <searchLink fieldCode="PM" term="%2233523896%22">33523896)</searchLink><br />Nucleic Acids Res. 2017 Jan 4;45(D1):D1100-D1106. (PMID: <searchLink fieldCode="PM" term="%2227924013%22">27924013)</searchLink><br />Brief Bioinform. 2018 Sep 28;19(5):954-970. (PMID: <searchLink fieldCode="PM" term="%2228369237%22">28369237)</searchLink><br />Cell Syst. 2021 May 19;12(5):375-383.e5. (PMID: <searchLink fieldCode="PM" term="%2234023022%22">34023022)</searchLink><br />J Comput Biol. 2024 Feb;31(2):175-178. (PMID: <searchLink fieldCode="PM" term="%2238301204%22">38301204)</searchLink><br />Sci Rep. 2019 May 21;9(1):7641. (PMID: <searchLink fieldCode="PM" term="%2231113963%22">31113963)</searchLink><br />Forensic Sci Int Genet. 2021 Sep;54:102529. (PMID: <searchLink fieldCode="PM" term="%2234139528%22">34139528)</searchLink><br />Microbiol Spectr. 2019 May;7(3):. (PMID: <searchLink fieldCode="PM" term="%2231111815%22">31111815)</searchLink><br />J Infect. 2024 Jan;88(1):61-62. (PMID: <searchLink fieldCode="PM" term="%2237907136%22">37907136)</searchLink><br />Forensic Sci Int Genet. 2022 Sep;60:102742. (PMID: <searchLink fieldCode="PM" term="%2235772265%22">35772265)</searchLink><br />J Forensic Sci. 2021 May;66(3):1017-1023. (PMID: <searchLink fieldCode="PM" term="%2233289932%22">33289932)</searchLink><br />Sci Data. 2015 Aug 18;2:150041. (PMID: <searchLink fieldCode="PM" term="%2226306205%22">26306205)</searchLink><br />Mol Cell Proteomics. 2020 Mar;19(3):518-528. (PMID: <searchLink fieldCode="PM" term="%2231941798%22">31941798)</searchLink><br />J Proteome Res. 2025 Mar 07;24(3):995-1007. (PMID: <searchLink fieldCode="PM" term="%2239898467%22">39898467)</searchLink><br />J Am Soc Mass Spectrom. 2024 Jun 5;35(6):1138-1155. (PMID: <searchLink fieldCode="PM" term="%2238740383%22">38740383)</searchLink><br />J Am Soc Mass Spectrom. 2020 Jan 2;31(1):85-102. (PMID: <searchLink fieldCode="PM" term="%2232881514%22">32881514)</searchLink><br />Forensic Sci Int Genet. 2021 Jan;50:102405. (PMID: <searchLink fieldCode="PM" term="%2233152624%22">33152624)</searchLink><br />Forensic Sci Int. 2019 Apr;297:350-363. (PMID: <searchLink fieldCode="PM" term="%2230929674%22">30929674)</searchLink><br />Proteomics. 2015 Apr;15(8):1437-42. (PMID: <searchLink fieldCode="PM" term="%2225477242%22">25477242)</searchLink><br />J Am Soc Mass Spectrom. 2015 Nov;26(11):1885-94. (PMID: <searchLink fieldCode="PM" term="%2226122521%22">26122521)</searchLink><br />Protein Sci. 2020 Sep;29(9):1864-1878. (PMID: <searchLink fieldCode="PM" term="%2232713088%22">32713088)</searchLink><br />Nat Commun. 2024 Jul 30;15(1):6427. (PMID: <searchLink fieldCode="PM" term="%2239080256%22">39080256)</searchLink><br />J Proteome Res. 2016 Sep 2;15(9):3098-107. (PMID: <searchLink fieldCode="PM" term="%2227432653%22">27432653)</searchLink><br />Toxicon. 2017 Dec 15;140:18-31. (PMID: <searchLink fieldCode="PM" term="%2229031940%22">29031940)</searchLink><br />Microbiome. 2020 Mar 6;8(1):30. (PMID: <searchLink fieldCode="PM" term="%2232143687%22">32143687)</searchLink><br />J Am Soc Mass Spectrom. 2016 Feb;27(2):194-210. (PMID: <searchLink fieldCode="PM" term="%2226510657%22">26510657)</searchLink><br />Comput Struct Biotechnol J. 2023 Jan 16;21:1140-1150. (PMID: <searchLink fieldCode="PM" term="%2236817962%22">36817962)</searchLink><br />Front Cell Infect Microbiol. 2021 Jul 26;11:634215. (PMID: <searchLink fieldCode="PM" term="%2234381737%22">34381737)</searchLink><br />Rapid Commun Mass Spectrom. 2003;17(20):2337-42. (PMID: <searchLink fieldCode="PM" term="%2214558135%22">14558135)</searchLink><br />Proteomics. 2018 Sep;18(18):e1700150. (PMID: <searchLink fieldCode="PM" term="%2229968278%22">29968278)</searchLink><br />mBio. 2016 Sep 20;7(5):. (PMID: <searchLink fieldCode="PM" term="%2227651357%22">27651357)</searchLink><br />Nat Biotechnol. 2019 Apr;37(4):469-479. (PMID: <searchLink fieldCode="PM" term="%2230936560%22">30936560)</searchLink><br />Biol Direct. 2007 Oct 25;2:25. (PMID: <searchLink fieldCode="PM" term="%2217961253%22">17961253)</searchLink>
– Name: GrantInfo
  Label: Grant Information
  Group: Grant
  Data: HSHQPM16X00216 U.S. Department of Homeland Security
– Name: SubjectMinor
  Label: Contributed Indexing
  Group:
  Data: <i>Keywords: </i>De novo sequence tags; Forensic proteomics; Mass spectrometry; Metaproteomics; Strong peptides
– Name: NumberCAS
  Label: Substance Nomenclature
  Group: ID
  Data: 0 (Peptides)
– Name: DateEntry
  Label: Entry Date(s)
  Group: Date
  Data: <i>Date Created: </i>20260820 <i>Date Completed: </i>20260820 <i>Latest Revision: </i>20260825
– Name: DateUpdate
  Label: Update Code
  Group: Date
  Data: 20260825
– Name: PubmedCentralID
  Label: PubMed Central ID
  Group: ID
  Data: PMC13494011
– Name: DOI
  Label: DOI
  Group: ID
  Data: 10.1038/s41598-026-50102-3
– Name: AN
  Label: PMID
  Group: ID
  Data: 42624859
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=cmedm&AN=42624859
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1038/s41598-026-50102-3
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Bacillus cereus classification
        Type: general
      – SubjectFull: Algorithms
        Type: general
      – SubjectFull: Biodiversity
        Type: general
      – SubjectFull: Peptides analysis
        Type: general
      – SubjectFull: Proteomics methods
        Type: general
      – SubjectFull: Forensic Sciences methods
        Type: general
      – SubjectFull: Computational Biology methods
        Type: general
      – SubjectFull: Software
        Type: general
    Titles:
      – TitleFull: MARLOWE: taxonomic characterization of unknown samples for forensics using de novo peptide identification.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Jenson SC
      – PersonEntity:
          Name:
            NameFull: Chu F
      – PersonEntity:
          Name:
            NameFull: Alves G
      – PersonEntity:
          Name:
            NameFull: Ogurtsov AY
      – PersonEntity:
          Name:
            NameFull: Barente AS
      – PersonEntity:
          Name:
            NameFull: Crockett DL
      – PersonEntity:
          Name:
            NameFull: Lamar NC
      – PersonEntity:
          Name:
            NameFull: Merkley ED
      – PersonEntity:
          Name:
            NameFull: Yu YK
      – PersonEntity:
          Name:
            NameFull: Jarman KH
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 20
              M: 08
              Text: 2026 Aug 20
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-electronic
              Value: 2045-2322
          Numbering:
            – Type: volume
              Value: 16
            – Type: issue
              Value: 1
          Titles:
            – TitleFull: Scientific reports
              Type: main
ResultId 1