A Bayesian approach to analyzing phenotype microarray data enables estimation of microbial growth parameters

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A Bayesian approach to analyzing phenotype microarray data enables estimation of microbial growth parameters

Biolog phenotype microarrays enable simultaneous, high throughput analysis of cell cultures in different environments. The output is high-density time-course data showing redox curves (approximating growth) for each experimental condition. The software provided with the Omnilog incubator/reader summ...

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Bibliographic Details
Main Authors:	Gerstgrasser, Matthias, Nicholls, Sarah, Stout, Michael, Smart, Katherine, Powell, Chris, Kypraios, Theodore, Stekel, Dov J.
Format:	Article
Published:	World Scientific 2016
Subjects:	Biolog Growth Model Diauxic Lag Phase Bayesian Statistics Phenotype Microarrays
Online Access:	https://eprints.nottingham.ac.uk/31379/

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