Application of machine learning algorithm and modified high resolution DNA melting curve analysis for molecular subtyping of Salmonella isolates from various epidemiological backgrounds in northern Thailand-Reference-Cited by-同舟云学术

Application of machine learning algorithm and modified high resolution DNA melting curve analysis for molecular subtyping of Salmonella isolates from various epidemiological backgrounds in northern Thailand

Published:2020-07 Issue:7 Volume:36 Page:
ISSN:0959-3993
Container-title:World Journal of Microbiology and Biotechnology
language:en
Short-container-title:World J Microbiol Biotechnol

Author:

Wisittipanit Nuttachat,Pulsrikarn Chaiwat,Wutthiosot Saranya,Pinmongkhonkul Sitthisak,Poonchareon Kritchai^ORCID

Funder

School of Medical Sciences, University of Phayao

Publisher

Springer Science and Business Media LLC

Subject

Applied Microbiology and Biotechnology,General Medicine,Physiology,Biotechnology

Link

http://link.springer.com/content/pdf/10.1007/s11274-020-02874-7.pdf

Reference28 articles.

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2. Athamanolap P, Parekh V, Fraley SI et al (2014) Trainable high resolution melt curve machine learning classifier for large-scale reliable genotyping of sequence variants. PLoS ONE. https://doi.org/10.1371/journal.pone.0109094

3. Cardona-Castro N, Sánchez-Jiménez M, Lavalett L et al (2009) Development and evaluation of a multiplex polymerase chain reaction assay to identify Salmonella serogroups and serotypes. Diagn Microbiol Infect Dis 65:327–330. https://doi.org/10.1016/j.diagmicrobio.2009.07.003

4. Crespo R, Sischo WC, Guard J et al (2016) Population dynamics and antimicrobial resistance of the most prevalent poultry-associated Salmonella serotypes. Poult Sci 96:687–702. https://doi.org/10.3382/ps/pew342

5. Davies RH, Gosling RJ, Rabie A et al (2018) Observations on the distribution and persistence of monophasic Salmonella Typhimurium on infected pig and cattle farms. Vet Microbiol 227:90–96. https://doi.org/10.1016/j.vetmic.2018.10.032

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