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ListPred Benchmarking study (long-read sequencing data)

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NIAID Data Ecosystem2026-05-02 收录
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https://www.ncbi.nlm.nih.gov/sra/ERP156572
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ListPred is a easy to use ML prediction tool for virulence potential and tolerance to disinfectants of Listeria monocytogenes isolates. In this study, we compared the effect of different input types (i.e., raw-reads or assemblies) from different sequencing platforms (i.e., short-read or long-read sequencing). The short-read sequencing data has already been submitted to ENA and here we submit the corresponding long-read sequencing data.
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2025-05-02
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