Mutation and selection in bacteria: modelling and calibration

Autor:	Bayliss, C. D., Fallaize, C., Howitt, R., Tretyakov, M. V.
Rok vydání:	2018
Předmět:	Quantitative Biology - Populations and Evolution Mathematics - Probability Quantitative Biology - Quantitative Methods 92D25 62F15 60J10
Zdroj:	Bulletin of Mathematical BiologyBulletin of Mathematical Biology, March 2019, Volume 81, Issue 3, pp 639-675
Druh dokumentu:	Working Paper
DOI:	10.1007/s11538-018-0529-9
Popis:	Temporal evolution of a clonal bacterial population is modelled taking into account reversible mutation and selection mechanisms. For the mutation model, an efficient algorithm is proposed to verify whether experimental data can be explained by this model. The selection-mutation model has unobservable fitness parameters and, to estimate them, we use an Approximate Bayesian Computation (ABC) algorithm. The algorithms are illustrated using in vitro data for phase variable genes of Campylobacter jejuni. Comment: 35 pages. The accepted version by The Bulletin of Mathematical Biology
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/1803.01767 Zobrazit plný text záznamu View this record from Arxiv