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Updated: Jan 17, 2026

Subtyping of Campylobacter jejuni ssp. doylei Isolates Using Mass Spectrometry-based PhyloProteomics MSPP
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Subtyping of Campylobacter jejuni ssp. doylei Isolates Using Mass Spectrometry-based PhyloProteomics MSPP

Published on: October 30, 2016

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预测通过加热和 Campylobacter jejuni 的菌株变异性的减少行为,使用来自全基因组测序数据的氨基酸遗传学

Hiroki Abe1, Susumu Kawasaki2

  • 1Division of Microbiology, National Institute of Health Sciences, Kawasaki, Kanagawa, 210-9501, Japan; Institute of Food Research, National Agriculture and Food Research Organization, Kannondai 2-1-12, Tsukuba, 305-8642, Japan; Japan Society for the Promotion of Science, 5-3-1 Kojimachi, Chiyoda-ku, Tokyo, Japan.

International journal of food microbiology
|September 20, 2025
PubMed
概括

预测Campylobacter jejuni热失活对于食品安全至关重要. 使用全基因组测序数据的新型机器学习模型准确预测细菌行为和菌株变异性,改善微生物风险评估.

关键词:
坎比洛巴克特 (Campylobacter jejuniuni) 是一个常见的菌类.机器学习 机器学习定量微生物风险评估 定量微生物风险评估应变的变化性 应变的变化性热不活化 热不活化耐热性 耐热性 耐热性整个基因组测序的测序

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