Advances in Microbial Metagenomics and Artificial Intelligence Analysis in Forensic Identification

Overview

Journal Front Microbiol

Specialty Microbiology

Date 2022 Dec 2

PMID 36458190

Authors

Qing He

Xueli Niu

Rui-Qun Qi

Min Liu

Affiliations

Soon will be listed here.

Abstract

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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