Microbiome Tools for Forensic Science

Microbes are present at every crime scene and have been used as physical evidence for over a century. Advances in DNA sequencing and computational approaches have led to recent breakthroughs in the use of microbiome approaches for forensic science, particularly in the areas of estimating postmortem...

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Vydáno v:	Trends in biotechnology (Regular ed.) Ročník 35; číslo 9; s. 814 - 823
Hlavní autoři:	Metcalf, Jessica L., Xu, Zhenjiang Z., Bouslimani, Amina, Dorrestein, Pieter, Carter, David O., Knight, Rob
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	England Elsevier Ltd 01.09.2017 Elsevier Limited
Témata:	Algorithms Animals Artificial intelligence Bacteria Chromatography Classification Computer applications Crime Criminal law Deoxyribonucleic acid DNA DNA sequencing Forensic engineering Forensic science Forensic sciences Forensic Sciences - methods Forensic Sciences - trends forensics Gene expression Genomes High-Throughput Nucleotide Sequencing Humans Internal Medicine Judicial system Learning algorithms Machine Learning metabolomic Metabolomics microbiome Microbiota Microorganisms Neural networks postmortem changes postmortem interval Prediction models sequence analysis Skin social justice soil Taxonomy trace evidence forensics metabolomic machine learning microbiome postmortem interval trace evidence
ISSN:	0167-7799, 1879-3096, 1879-3096
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Shrnutí:	Microbes are present at every crime scene and have been used as physical evidence for over a century. Advances in DNA sequencing and computational approaches have led to recent breakthroughs in the use of microbiome approaches for forensic science, particularly in the areas of estimating postmortem intervals (PMIs), locating clandestine graves, and obtaining soil and skin trace evidence. Low-cost, high-throughput technologies allow us to accumulate molecular data quickly and to apply sophisticated machine-learning algorithms, building generalizable predictive models that will be useful in the criminal justice system. In particular, integrating microbiome and metabolomic data has excellent potential to advance microbial forensics. Microbes have been used as physical evidence for over a century. With recent advances in microbiome science, new opportunities exist for microbiome technologies in forensic science, particularly in the areas of estimating PMIs, location of clandestine graves, and soil and skin trace evidence. Integrating microbiome and metabolomic data sets has the potential to improve our predictive ability, thereby lowering error rates, which is key to establishing new methods for the criminal justice system. Low-cost, high-throughput technologies allow us to accumulate data quickly and to apply sophisticated machine-learning algorithms, building generalizable predictive models.
Bibliografie:	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 ObjectType-Review-3 content type line 23
ISSN:	0167-7799 1879-3096 1879-3096
DOI:	10.1016/j.tibtech.2017.03.006