recipe bioconductor-vplotr

Set of tools to make V-plots and compute footprint profiles

Homepage:

https://bioconductor.org/packages/3.17/bioc/html/VplotR.html

License:

GPL (>= 3)

Recipe:

/bioconductor-vplotr/meta.yaml

The pattern of digestion and protection from DNA nucleases such as DNAse I, micrococcal nuclease, and Tn5 transposase can be used to infer the location of associated proteins. This package contains useful functions to analyze patterns of paired-end sequencing fragment density. VplotR facilitates the generation of V-plots and footprint profiles over single or aggregated genomic loci of interest.

package bioconductor-vplotr

versions:

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

depends bioconductor-genomeinfodb:

>=1.36.0,<1.37.0

depends bioconductor-genomicalignments:

>=1.36.0,<1.37.0

depends bioconductor-genomicranges:

>=1.52.0,<1.53.0

depends bioconductor-iranges:

>=2.34.0,<2.35.0

depends bioconductor-rsamtools:

>=2.16.0,<2.17.0

depends bioconductor-s4vectors:

>=0.38.0,<0.39.0

depends r-base:

>=4.3,<4.4.0a0

depends r-cowplot:

depends r-ggplot2:

depends r-magrittr:

depends r-rcolorbrewer:

depends r-reshape2:

depends r-zoo:

requirements:

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-vplotr

and update with::

   mamba update bioconductor-vplotr

To create a new environment, run:

mamba create --name myenvname bioconductor-vplotr

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-vplotr:<tag>

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

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