Multi fragment melting analysis system (MFMAS) for one-step identification of lactobacilli.

Kesmen, Zülal; Kiliç, Özge; Gormez, Yasin; Çelik, Mete; Bakir-Gungor, Burcu

Kesmen, Zülal; Kiliç, Özge; Gormez, Yasin; Çelik, Mete; Bakir-Gungor, Burcu.

Afiliação

Kesmen Z; Erciyes University, Engineering Faculty, Department of Food Engineering, Kayseri, Turkey. Electronic address: zkesmen@erciyes.edu.tr.
Kiliç Ö; Erciyes University, Engineering Faculty, Department of Food Engineering, Kayseri, Turkey.
Gormez Y; Cumhuriyet University, Faculty of Economic and Administrative Sciences, Sivas, Turkey.
Çelik M; Erciyes University, Engineering Faculty, Department of Computer Engineering, Kayseri, Turkey.
Bakir-Gungor B; Abdullah Gul University, Department of Computer Engineering, Faculty of Engineering, Kayseri, Turkey.

J Microbiol Methods ; 177: 106045, 2020 10.

Article em En | MEDLINE | ID: mdl-32890569

Assuntos

Técnicas Bacteriológicas/métodos; DNA Bacteriano/análise; Lactobacillus/genética; Lactobacillus/isolamento & purificação; Microbiologia de Alimentos; Genes Bacterianos/genética; Modelos Logísticos; Aprendizado de Máquina; Reação em Cadeia da Polimerase/métodos; Probióticos; Análise de Sequência de DNA; Software

Palavras-chave

High resolution melting (HRM); Lactobacilli; Logistic regression (LR); Machine learning; Multi-fragment melting analysis system (MFMAS); One-step identification

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: DNA Bacteriano / Técnicas Bacteriológicas / Lactobacillus Tipo de estudo: Diagnostic_studies / Risk_factors_studies Idioma: En Revista: J Microbiol Methods Ano de publicação: 2020 Tipo de documento: Article

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