The generation of reduced representation libraries has become a common resource available for the study of larger numbers of individuals from model and non-model organisms. Numerous tools are available for the direct analysis of NGS data generated from reduced representation libraries, but to data no tool is available to take into consideration the problem of allelic dropout. This phenomenon, already described in several publications is the result of the fact that any polymorphism in linkage with losses of restriction sites in the genome (a common method for generating reduced representation libraries) will result in the lack of observation of the single nucleotide variant associated with the loss of the restriction site.
GBS-tools available here, is a tool that looks at the distribution of variants in a multisample vcf file and infers the likelihood that the SNPs given a model in which there is a mixture of restriction sites presence/absence. We strongly encourage examining using this tool, specially when the studied organism is highly heterozygous.
Files for download:
The publication supporting the development of this tool can be found here:
Cooke TF, Yee M-C, Muzzio M, Adams A, Bell R, Cornejo OE, Kelley JL, Bailliet G, Bravi CM, Bustamante CD, Kenny EE. (2016) GBStools: A unified approach for reduced representation sequencing and genotyping. PLoS Genetics. 12(2): e1005631. doi:10.1371/journal.pgen.1005631
PopRange is an “ecologically driven” population genetic simulation software developed by Kimberly McManus for R, while working under my supervision.
Part of the great features of PopRange is that allows to simulate MetaPopulations in a grid and simulate Wright-Fisher models with selection and modify assumptions about the ecological models for the demographic of the population of interest (for instance: you can run populations that follow a logistic growth model).
Files for download:
Oscillations in Continuous Culture of Single Clones
We will post in this section information corresponding to programs or code necessary to perform simulations as developed in published papers and also unpublished results that we would like to share with the community. This section will be updated soon.
In our paper on the oscillatory behavior of Streptococcus pneumoniae in continuous culture on chemostats (Cornejo et al. 2009) we proposed a system of ordinary differential equations (ODE) aimed at explaining the maintenance of an oscillatory dynamics based on the production of a toxin which auto-regulates its production. The most mathematically oriented will find the clear resemblance of the model proposed with classic Lotka-Volterra systems. In the file Oscillations.R we provide with the code to play and examine computer simulations of this model and produce results similar to those obtained in the paper. I hope that this code is helpful for people interested in similar problems in analogous systems.
Also, In the file bacterial_recombination.R I have laid out the code for simple simulations to numerically explore the dynamics of recombination in bacteria mediated by F plasmids or for High frequency of recombination (HFr) strains. We have explored the use of ordinary differential equations in informing experiments aimed at estimating the maximum rate of recombination of bacteria.