Species identification using high resolution melting (HRM) analysis with random forest classification-Reference-Cited by-同舟云学术

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

Published:2017-04-25 Issue:1 Volume:51 Page:57-72
ISSN:0045-0618
Container-title:Australian Journal of Forensic Sciences
language:en
Short-container-title:Australian Journal of Forensic Sciences

Author:

Bowman Sorelle¹,McNevin Dennis¹,Venables Samantha J.¹,Roffey Paul²,Richardson Alice³,Gahan Michelle E.¹

Affiliation:

1. National Centre for Forensic Studies, University of Canberra, Bruce, Australia

2. Forensics, Specialist Operations, Australian Federal Police, Canberra, Australia

3. National Centre for Epidemiology & Population Health, Australian National University, Canberra, Australia

Publisher

Informa UK Limited

Subject

Pathology and Forensic Medicine

Link

https://www.tandfonline.com/doi/pdf/10.1080/00450618.2017.1315835

Reference37 articles.

1. A review of current PCR-based methodologies for the authentication of meats from game animal species

2. A Next Generation Semiconductor Based Sequencing Approach for the Identification of Meat Species in DNA Mixtures

3. Review: Authentication and traceability of foods from animal origin by polymerase chain reaction-based capillary electrophoresis

4. Species Identification of Ten Common Farm Animals Based on Mitochondrial 12S rRNA Gene Polymorphisms

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1. DNA melting analysis;Molecular Aspects of Medicine;2024-06

2. AI-Driven Approaches to Reshape Forensic Practices;Cases on Forensic and Criminological Science for Criminal Detection and Avoidance;2024-05-17

3. Species discrimination from blood traces using ATR FT-IR spectroscopy and chemometrics: Application in wildlife forensics;Forensic Science International: Animals and Environments;2023-12

4. Classification of High Resolution Melting Curves Using Recurrence Quantification Analysis and Data Mining Algorithms;Engineering Cyber-Physical Systems and Critical Infrastructures;2023

5. Mitochondrial genes as strong molecular markers for species identification;The Nucleus;2022-10-28

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