Species identification using high resolution melting (HRM) analysis with random forest classification

Species identification is an important facet of forensic investigation. In this study, human and non-human species (cow, chicken, pig, sheep, cat, dog, rabbit, fox, kangaroo and wombat) were assayed on the ViiA 7 Real-Time PCR System (Thermo Fisher Scientific) to rapidly screen for their species of...

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Bibliographic Details
Published in:Australian journal of forensic sciences 2019-01, Vol.51 (1), p.57-72
Main Authors: Bowman, Sorelle, McNevin, Dennis, Venables, Samantha J., Roffey, Paul, Richardson, Alice, Gahan, Michelle E.
Format: Article
Language:English
Subjects:
Accuracy
Analysis
Animals
Biological materials
Classification
Computer programs
COMPUTER SOFTWARE
Criminal investigation
DNA
Fluorescence
FORENSIC SCIENCE
Forensic sciences
High resolution
high resolution melt analysis
Human subjects
Methodology
Polymerase chain reaction
predictive modelling
random forest
Random variables
rapid screening
rRNA 16S
Software
Species
Species classification
STATISTICS
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Summary:Species identification is an important facet of forensic investigation. In this study, human and non-human species (cow, chicken, pig, sheep, cat, dog, rabbit, fox, kangaroo and wombat) were assayed on the ViiA 7 Real-Time PCR System (Thermo Fisher Scientific) to rapidly screen for their species of origin using the high resolution melt (HRM) analysis targeting the 16S rRNA gene. Classification of HRM difference profiles using the onboard ViiA 7 software resulted in a classification accuracy of 
ISSN:0045-0618
1834-562X
DOI:10.1080/00450618.2017.1315835