- recipe bioconductor-rjmcmcnucleosomes
Bayesian hierarchical model for genome-wide nucleosome positioning with high-throughput short-read data (MNase-Seq)
- Homepage:
https://bioconductor.org/packages/3.18/bioc/html/RJMCMCNucleosomes.html
- License:
Artistic-2.0
- Recipe:
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:
1.26.0-0,1.24.0-0,1.22.0-1,1.22.0-0,1.18.0-2,1.18.0-1,1.18.0-0,1.16.0-0,1.14.0-1,1.26.0-0,1.24.0-0,1.22.0-1,1.22.0-0,1.18.0-2,1.18.0-1,1.18.0-0,1.16.0-0,1.14.0-1,1.14.0-0,1.12.0-0,1.10.0-0,1.8.0-1,1.6.0-0- depends bioconductor-biocgenerics:
>=0.48.0,<0.49.0- depends bioconductor-biocgenerics:
>=0.48.1,<0.49.0a0- depends bioconductor-biocparallel:
>=1.36.0,<1.37.0- depends bioconductor-biocparallel:
>=1.36.0,<1.37.0a0- depends bioconductor-consensusseeker:
>=1.30.0,<1.31.0- depends bioconductor-consensusseeker:
>=1.30.0,<1.31.0a0- depends bioconductor-genomeinfodb:
>=1.38.0,<1.39.0- depends bioconductor-genomeinfodb:
>=1.38.1,<1.39.0a0- depends bioconductor-genomicranges:
>=1.54.0,<1.55.0- depends bioconductor-genomicranges:
>=1.54.1,<1.55.0a0- depends bioconductor-iranges:
>=2.36.0,<2.37.0- depends bioconductor-iranges:
>=2.36.0,<2.37.0a0- depends bioconductor-s4vectors:
>=0.40.0,<0.41.0- depends bioconductor-s4vectors:
>=0.40.2,<0.41.0a0- depends gsl:
>=2.7,<2.8.0a0- depends libblas:
>=3.9.0,<4.0a0- depends libgcc-ng:
>=12- depends liblapack:
>=3.9.0,<4.0a0- depends libstdcxx-ng:
>=12- depends r-base:
>=4.3,<4.4.0a0- depends r-rcpp:
>=0.12.5- requirements:
- additional platforms:
Installation
You need a conda-compatible package manager (currently either micromamba, mamba, or conda) and the Bioconda channel already activated (see set-up-channels).
While any of above package managers is fine, it is currently recommended to use either micromamba or mamba (see here for installation instructions). We will show all commands using mamba below, but the arguments are the same for the two others.
Given that you already have a conda environment in which you want to have this package, install with:
mamba install bioconductor-rjmcmcnucleosomes and update with:: mamba update bioconductor-rjmcmcnucleosomes
To create a new environment, run:
mamba create --name myenvname bioconductor-rjmcmcnucleosomes
with
myenvnamebeing a reasonable name for the environment (see e.g. the mamba docs for details and further options).Alternatively, use the docker container:
docker pull quay.io/biocontainers/bioconductor-rjmcmcnucleosomes:<tag> (see `bioconductor-rjmcmcnucleosomes/tags`_ for valid values for ``<tag>``)
Download stats¶
Link to this page¶
Render an 
badge with the following MarkDown:
[](http://bioconda.github.io/recipes/bioconductor-rjmcmcnucleosomes/README.html)
