# metaMix v0.3

0

0th

Percentile

## Bayesian Mixture Analysis for Metagenomic Community Profiling

Resolves complex metagenomic mixtures by analysing deep sequencing data, using a mixture model based approach. The use of parallel Monte Carlo Markov chains for the exploration of the species space enables the identification of the set of species more likely to contribute to the mixture.

## Functions in metaMix

 Name Description step2 Example output of reduce.space() for use in the vignette/examples bayes.model.aver Bayesian Model Averaging generative.prob Compute generative probabilities from BLAST output step1 Example output of generative.prob() for use in the vignette/examples reduce.space Reduce the space of potential species by fitting the mixture model with all potential species as categories parallel.temper Parallel Tempering MCMC step3 Example output of parallel.temper() for use in the vignette/examples parallel.temper.nucl Parallel Tempering MCMC No Results!