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

• Published in: Australian journal of forensic sciences Vol. 51; no. 1; pp. 57 - 72
• Main Authors: Bowman, Sorelle, McNevin, Dennis, Venables, Samantha J., Roffey, Paul, Richardson, Alice, Gahan, Michelle E.
• Format: Journal Article
• Language: English
• Published: Clovelly Taylor & Francis 02.01.2019; Copyright Agency Limited (Distributor)
• 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; AUSTRALIA

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...