recipe bioconductor-melissa

Bayesian clustering and imputationa of single cell methylomes

Homepage:

https://bioconductor.org/packages/3.16/bioc/html/Melissa.html

License:

GPL-3 | file LICENSE

Recipe:

/bioconductor-melissa/meta.yaml

Melissa is a Baysian probabilistic model for jointly clustering and imputing single cell methylomes. This is done by taking into account local correlations via a Generalised Linear Model approach and global similarities using a mixture modelling approach.

package bioconductor-melissa

Versions:

1.14.0-0,  1.10.0-0,  1.8.0-0,  1.6.0-1,  1.6.0-0,  1.4.0-0,  1.2.0-0,  1.0.0-1

Depends:

• bioconductor-biocstyle >=2.26.0,<2.27.0

• bioconductor-bprmeth >=1.24.0,<1.25.0

• bioconductor-genomicranges >=1.50.0,<1.51.0

• r-assertthat

• r-base >=4.2,<4.3.0a0

• r-cowplot

• r-data.table

• r-doparallel

• r-foreach

• r-ggplot2

• r-magrittr

• r-matrixcalc

• r-mclust

• r-mcmcpack

• r-mvtnorm

• r-rocr

• r-truncnorm

Required By:

Installation

With an activated Bioconda channel (see set-up-channels), install with:

conda install bioconductor-melissa

and update with:

conda update bioconductor-melissa

or use the docker container:

docker pull quay.io/biocontainers/bioconductor-melissa:<tag>

(see bioconductor-melissa/tags for valid values for <tag>)

Download stats

Link to this page

Render an badge with the following MarkDown:

[![install with bioconda](https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat)](http://bioconda.github.io/recipes/bioconductor-melissa/README.html)