recipe r-spp

Analysis of ChIP-seq and other functional sequencing data [Kharchenko PV (2008) <DOI:10.1038/nbt.1508>].

Homepage:

https://CRAN.R-project.org/package=spp

License:

GPL2 / GPL-2.0-only

Recipe:

/r-spp/meta.yaml

Links:

biotools: spp, doi: 10.1038/nbt.1508

package r-spp

(downloads) docker_r-spp

versions:
1.16.0-10,  1.16.0-9,  1.16.0-8,  1.16.0-7,  1.16.0-6,  1.16.0-5,  1.16.0-4,  1.16.0-3,  1.16.0-2, 

1.16.0-10,  1.16.0-9,  1.16.0-8,  1.16.0-7,  1.16.0-6,  1.16.0-5,  1.16.0-4,  1.16.0-3,  1.16.0-2,  1.16.0-1,  1.16.0-0,  1.15.5-2,  1.15.5-1,  1.15.5-0,  1.15.2-0,  1.14post-0,  1.14-0,  1.13-0,  1.11-0

depends bioconductor-rsamtools:

>=2.18.0,<2.19.0a0

depends libgcc-ng:

>=12

depends libstdcxx-ng:

>=12

depends r-base:

>=4.3,<4.4.0a0

depends r-bh:

>=1.66

depends r-catools:

depends r-rcpp:

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 r-spp

and update with::

   mamba update r-spp

To create a new environment, run:

mamba create --name myenvname r-spp

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/r-spp:<tag>

(see `r-spp/tags`_ for valid values for ``<tag>``)

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