Combination of whole genome sequencing and Supervised Machine Learning provides unambiguous identification of enterohemorrhagic Escherichia coli in raw milk
收藏NIAID Data Ecosystem2026-03-14 收录
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The objective of this study was to identify, using a genome-wide approach, an unambiguous scheme to predict the presence of highly pathogenic STEC in E. coli reads assemblies derived from complex samples containing potentially multiple E. coli strains.
创建时间:
2022-11-26



