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使用全基因组测序和机器学习预测Listeria monocytogenes的毒性潜力

Alexander Gmeiner1, Patrick Murigu Kamau Njage1, Lisbeth Truelstrup Hansen2

  • 1National Food Institute, Technical University of Denmark, Research Group for Genomic Epidemiology, Kgs. Lyngby, Denmark.

International journal of food microbiology
|November 24, 2023
PubMed
概括

全基因组测序 (WGS) 与机器学习 (ML) 结合,可以预测Listeria monocytogenes在亚种水平上的毒性潜力. 这种方法可以通过更精确的微生物危害表征和风险管理来提高食品安全.

关键词:
临床频率 临床频率食品安全 食品安全危害特征描述 危害特征描述国家监督国家监督国家监督泛基因组是一个全基因组.病毒性基因是病毒性基因.

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