recipe bioconductor-nupop

An R package for nucleosome positioning prediction

Homepage:

https://bioconductor.org/packages/3.18/bioc/html/NuPoP.html

License:

GPL-2

Recipe:

/bioconductor-nupop/meta.yaml

NuPoP is an R package for Nucleosome Positioning Prediction.This package is built upon a duration hidden Markov model proposed in Xi et al, 2010; Wang et al, 2008. The core of the package was written in Fotran. In addition to the R package, a stand-alone Fortran software tool is also available at https://github.com/jipingw. The Fortran codes have complete functonality as the R package. Note: NuPoP has two separate functions for prediction of nucleosome positioning, one for MNase-map trained models and the other for chemical map-trained models. The latter was implemented for four species including yeast, S.pombe, mouse and human, trained based on our recent publications. We noticed there is another package nuCpos by another group for prediction of nucleosome positioning trained with chemicals. A report to compare recent versions of NuPoP with nuCpos can be found at https://github.com/jiping/NuPoP_doc. Some more information can be found and will be posted at https://github.com/jipingw/NuPoP.

package bioconductor-nupop

versions:

2.14.0-0,  2.10.0-1,  2.10.0-0,  2.8.1-0,  2.6.0-1,  2.6.0-0,  2.2.0-2,  2.2.0-1,  2.2.0-0, 

2.14.0-0,  2.10.0-1,  2.10.0-0,  2.8.1-0,  2.6.0-1,  2.6.0-0,  2.2.0-2,  2.2.0-1,  2.2.0-0,  2.0.0-0,  1.40.0-1,  1.40.0-0,  1.38.0-0,  1.36.0-0,  1.34.0-2,  1.34.0-1,  1.34.0-0,  1.32.0-0

depends libblas:

>=3.9.0,<4.0a0

depends libgcc:

>=13

depends libgfortran:

depends libgfortran5:

>=13.3.0

depends liblapack:

>=3.9.0,<4.0a0

depends r-base:

>=4.4,<4.5.0a0

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-nupop

and update with::

   mamba update bioconductor-nupop

To create a new environment, run:

mamba create --name myenvname bioconductor-nupop

with myenvname being 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-nupop:<tag>

(see `bioconductor-nupop/tags`_ for valid values for ``<tag>``)

Download stats

Link to this page

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