recipe bioconductor-nucpos

An R package for prediction of nucleosome positions

Homepage:

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

License:

GPL-2

Recipe:

/bioconductor-nucpos/meta.yaml

nuCpos, a derivative of NuPoP, is an R package for prediction of nucleosome positions. nuCpos calculates local and whole nucleosomal histone binding affinity (HBA) scores for a given 147-bp sequence. Note: This package was designed to demonstrate the use of chemical maps in prediction. As the parental package NuPoP now provides chemical-map-based prediction, the function for dHMM-based prediction was removed from this package. nuCpos continues to provide functions for HBA calculation.

package bioconductor-nucpos

(downloads) docker_bioconductor-nucpos

versions:
1.24.0-0,  1.20.0-0,  1.18.0-0,  1.16.0-1,  1.16.0-0,  1.12.0-2,  1.12.0-1,  1.12.0-0,  1.10.0-0, 

1.24.0-0,  1.20.0-0,  1.18.0-0,  1.16.0-1,  1.16.0-0,  1.12.0-2,  1.12.0-1,  1.12.0-0,  1.10.0-0,  1.8.0-1,  1.8.0-0,  1.6.0-0,  1.4.0-0,  1.2.0-2,  1.2.0-1,  1.2.0-0,  1.0.1-0,  1.0.0-0

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-nucpos

and update with::

   mamba update bioconductor-nucpos

To create a new environment, run:

mamba create --name myenvname bioconductor-nucpos

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-nucpos:<tag>

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

Download stats

Link to this page

Render an install-with-bioconda 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-nucpos/README.html)