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Advances in microbial metagenomics and artificial intelligence analysis in forensic identification

Microorganisms, which are widely distributed in nature and human body, show unique application value in forensic identification. Recent advances in high-throughput sequencing technology and significant reductions in analysis costs have markedly promoted the development of forensic microbiology and m...

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Detalles Bibliográficos
Autores principales: He, Qing, Niu, Xueli, Qi, Rui-Qun, Liu, Min
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9705755/
https://www.ncbi.nlm.nih.gov/pubmed/36458190
http://dx.doi.org/10.3389/fmicb.2022.1046733
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author He, Qing
Niu, Xueli
Qi, Rui-Qun
Liu, Min
author_facet He, Qing
Niu, Xueli
Qi, Rui-Qun
Liu, Min
author_sort He, Qing
collection PubMed
description Microorganisms, which are widely distributed in nature and human body, show unique application value in forensic identification. Recent advances in high-throughput sequencing technology and significant reductions in analysis costs have markedly promoted the development of forensic microbiology and metagenomics. The rapid progression of artificial intelligence (AI) methods and computational approaches has shown their unique application value in forensics and their potential to address relevant forensic questions. Here, we summarize the current status of microbial metagenomics and AI analysis in forensic microbiology, including postmortem interval inference, individual identification, geolocation, and tissue/fluid identification.
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spelling pubmed-97057552022-11-30 Advances in microbial metagenomics and artificial intelligence analysis in forensic identification He, Qing Niu, Xueli Qi, Rui-Qun Liu, Min Front Microbiol Microbiology Microorganisms, which are widely distributed in nature and human body, show unique application value in forensic identification. Recent advances in high-throughput sequencing technology and significant reductions in analysis costs have markedly promoted the development of forensic microbiology and metagenomics. The rapid progression of artificial intelligence (AI) methods and computational approaches has shown their unique application value in forensics and their potential to address relevant forensic questions. Here, we summarize the current status of microbial metagenomics and AI analysis in forensic microbiology, including postmortem interval inference, individual identification, geolocation, and tissue/fluid identification. Frontiers Media S.A. 2022-11-15 /pmc/articles/PMC9705755/ /pubmed/36458190 http://dx.doi.org/10.3389/fmicb.2022.1046733 Text en Copyright © 2022 He, Niu, Qi and Liu. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Microbiology
He, Qing
Niu, Xueli
Qi, Rui-Qun
Liu, Min
Advances in microbial metagenomics and artificial intelligence analysis in forensic identification
title Advances in microbial metagenomics and artificial intelligence analysis in forensic identification
title_full Advances in microbial metagenomics and artificial intelligence analysis in forensic identification
title_fullStr Advances in microbial metagenomics and artificial intelligence analysis in forensic identification
title_full_unstemmed Advances in microbial metagenomics and artificial intelligence analysis in forensic identification
title_short Advances in microbial metagenomics and artificial intelligence analysis in forensic identification
title_sort advances in microbial metagenomics and artificial intelligence analysis in forensic identification
topic Microbiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9705755/
https://www.ncbi.nlm.nih.gov/pubmed/36458190
http://dx.doi.org/10.3389/fmicb.2022.1046733
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