recipe bioconductor-rjmcmcnucleosomes

Bayesian hierarchical model for genome-wide nucleosome positioning with high-throughput short-read data (MNase-Seq)

Homepage:

https://bioconductor.org/packages/3.14/bioc/html/RJMCMCNucleosomes.html

License:

Artistic-2.0

Recipe:

/bioconductor-rjmcmcnucleosomes/meta.yaml

This package does nucleosome positioning using informative Multinomial-Dirichlet prior in a t-mixture with reversible jump estimation of nucleosome positions for genome-wide profiling.

package bioconductor-rjmcmcnucleosomes

Versions:

1.18.0-2,  1.18.0-1,  1.18.0-0,  1.16.0-0,  1.14.0-1,  1.14.0-0,  1.12.0-0,  1.10.0-0,  1.8.0-1, 

1.18.0-2,  1.18.0-1,  1.18.0-0,  1.16.0-0,  1.14.0-1,  1.14.0-0,  1.12.0-0,  1.10.0-0,  1.8.0-1,  1.6.0-0

Depends:

• bioconductor-biocgenerics >=0.40.0,<0.41.0

• bioconductor-biocparallel >=1.28.0,<1.29.0

• bioconductor-consensusseeker >=1.22.0,<1.23.0

• bioconductor-genomeinfodb >=1.30.0,<1.31.0

• bioconductor-genomicranges >=1.46.0,<1.47.0

• bioconductor-iranges >=2.28.0,<2.29.0

• bioconductor-s4vectors >=0.32.0,<0.33.0

• libblas >=3.9.0,<4.0a0

• libgcc-ng >=12

• liblapack >=3.9.0,<4.0a0

• libstdcxx-ng >=12

• r-base >=4.1,<4.2.0a0

• r-rcpp >=0.12.5

Required By:

Installation

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

conda install bioconductor-rjmcmcnucleosomes

and update with:

conda update bioconductor-rjmcmcnucleosomes

or use the docker container:

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

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

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