Learn R Programming

metaMix (version 0.3)

Bayesian Mixture Analysis for Metagenomic Community Profiling

Description

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.

Copy Link

Version

Install

install.packages('metaMix')

Monthly Downloads

20

Version

0.3

License

GPL-3

Maintainer

Sofia Morfopoulou

Last Published

February 11th, 2019

Functions in metaMix (0.3)

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