Data for making Figure 2 in the paper

This file contains the Matlab code output which was used to plot the graphs in Figure 2 in the main paper

Data for making Figure 3 in paper

Matlab code output that can be used to make the plots in Figure 3 in the main paper

ODEs for one to one model

This file contains the Matlab code for the model with a one to one infection pattern. It can be run using the file run_model.m (provided in the data package)

Calculating phage and host evolutionary steps

This file contains the Matlab code for calculating the number of evolutionary steps occurring in the bacteria and phage populations at each time step of the simulation

Data for making Figure 1 in paper

Matlab code output that can be used to generate the plots in Figure 1 in the main pape

Data for making Figure S5

Matlab code output that was used to make the plots in Figure S5 in the supplementary material

El Diario de Pontevedra : periódico liberal: Ano XIV Número 3884 - 1897 maio 31

Matlab code output for making Figure S1 in the supplementary material

Development of an unbiased statistical method for the analysis of unigenic evolution-0

<p><b>Copyright information:</b></p><p>Taken from "Development of an unbiased statistical method for the analysis of unigenic evolution"</p><p>BMC Bioinformatics 2006;7():150-150.</p><p>Published online 17 Mar 2006</p><p>PMCID:PMC1434776.</p><p>Copyright © 2006 Behrsin et al; licensee BioMed Central Ltd.</p> of individual residues was averaged over a window of 1, 5, 11 or 25 codons. The hypo- or hypermutability was then plotted as a bar in the center of the specified window and the window was shifted downstream one codon at a time. Individual hypomutable regions, designated A, B, C, and D are indicated on the plot for the 11 codon window. For comparison, the difference between mutability calculated by previous methods (5) and mutability as described in this manuscript is also shown (circles)

Development of an unbiased statistical method for the analysis of unigenic evolution-1

<p><b>Copyright information:</b></p><p>Taken from "Development of an unbiased statistical method for the analysis of unigenic evolution"</p><p>BMC Bioinformatics 2006;7():150-150.</p><p>Published online 17 Mar 2006</p><p>PMCID:PMC1434776.</p><p>Copyright © 2006 Behrsin et al; licensee BioMed Central Ltd.</p>d against region length and amino acid residue number. Calculations were performed as described in the text. Only regions that are significant at the 0.005 level are plotted; the whole window is plotted whenever this significance level is achieved. If a residue is involved in more than one significant region of the same length, the region with the highest χvalue is plotted. Colours indicate χof the region and range from deep red (χ> 15, corresponding to α < 0.0001) to pale green (χ> 8, α < 0.005). Four hypomutable regions approximating regions A-D (Figure 1) are evident