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...

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Detalles Bibliográficos
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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society for Microbiology 2023
Materias:
Research Article
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

Internet

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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