Quantitative Framework for Model Evaluation in Microbiology Research Using Pseudomonas aeruginosa and Cystic Fibrosis Infection as a Test Case

Laboratory models are a cornerstone of modern microbiology, but the accuracy of these models has not been systematically evaluated. As a result, researchers often choose models based on intuition or incomplete data. We propose a general quantitative framework to assess model accuracy from RNA sequen...

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Detalles Bibliográficos
Autores principales: Cornforth, Daniel M., Diggle, Frances L., Melvin, Jeffrey A., Bomberger, Jennifer M., Whiteley, Marvin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society for Microbiology 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6960289/
https://www.ncbi.nlm.nih.gov/pubmed/31937646
http://dx.doi.org/10.1128/mBio.03042-19

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6960289/
https://www.ncbi.nlm.nih.gov/pubmed/31937646
http://dx.doi.org/10.1128/mBio.03042-19

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