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Predicting variable gene content in Escherichia coli using conserved genes
Having the ability to predict the protein-encoding gene content of an incomplete genome or metagenome-assembled genome is important for a variety of bioinformatic tasks. In this study, as a proof of concept, we built machine learning classifiers for predicting variable gene content in Escherichia co...
Autores principales: | Nguyen, Marcus, Elmore, Zachary, Ihle, Clay, Moen, Francesco S., Slater, Adam D., Turner, Benjamin N., Parrello, Bruce, Best, Aaron A., Davis, James J. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Society for Microbiology
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10469788/ https://www.ncbi.nlm.nih.gov/pubmed/37314210 http://dx.doi.org/10.1128/msystems.00058-23 |
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