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Fayixue Zazhi
Article . 2019
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Progress in the 16S rRNA Gene Sequencing in Forensic Science.

Authors: G Q, Song; Y, Cao; H, Li; K, Ma; X Y, Zhao; K N, Zou; H G, Zhou;

Progress in the 16S rRNA Gene Sequencing in Forensic Science.

Abstract

Forensic microorganism is one of the hotspots of forensic science research. Due to its conservatism and specificity, the 16S rRNA gene is found to be an ideal marker for forensic identification. With the rapid development of high throughput sequencing technology, the research on microorganisms has been gradually applied to many fields such as environment and health care. In the field of forensic science, the results of forensic microbiology research, represented by 16S rRNA gene sequencing, are also gradually applied to forensic practice, such as biological samples identification, individual identification, postmortem interval estimation, and regional inference, which not only provide clues for the investigation of cases but also complement and assist traditional methods. This paper describes the research methods and related sequencing technologies of 16S rRNA gene sequencing, summarizes its research progress, and discusses the application value and potential of 16S rRNA in forensic science.

Related Organizations
Keywords

Sequence Analysis, RNA, RNA, Ribosomal, 16S, Forensic Sciences

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
gold