metaMix: 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.
| Version: |
0.3 |
| Depends: |
R (≥ 3.2) |
| Imports: |
data.table (≥ 1.9.2), Matrix, gtools, Rmpi, ggplot2 |
| Suggests: |
knitr |
| Published: |
2019-02-11 |
| Author: |
Sofia Morfopoulou |
| Maintainer: |
Sofia Morfopoulou <sofia.morfopoulou.10 at ucl.ac.uk> |
| License: |
GPL-3 |
| NeedsCompilation: |
yes |
| SystemRequirements: |
Open MPI (>=1.4.3) |
| CRAN checks: |
metaMix results |
Documentation:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=metaMix
to link to this page.