recipe bioconductor-similarpeak

Metrics to estimate a level of similarity between two ChIP-Seq profiles

Homepage:

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

License:

Artistic-2.0

Recipe:

/bioconductor-similarpeak/meta.yaml

Links:

biotools: similarpeak, doi: 10.1371/journal.pcbi.1004751

This package calculates metrics which quantify the level of similarity between ChIP-Seq profiles. More specifically, the package implements six pseudometrics specialized in pattern similarity detection in ChIP-Seq profiles.

package bioconductor-similarpeak

(downloads) docker_bioconductor-similarpeak

versions:
1.34.0-01.32.0-01.30.0-01.26.0-01.24.0-01.22.0-11.22.0-01.20.0-01.18.0-0

1.34.0-01.32.0-01.30.0-01.26.0-01.24.0-01.22.0-11.22.0-01.20.0-01.18.0-01.16.0-11.16.0-01.14.0-01.12.0-01.10.0-01.8.0-0

depends r-base:

>=4.3,<4.4.0a0

depends r-r6:

>=2.0

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-similarpeak

and update with::

   mamba update bioconductor-similarpeak

To create a new environment, run:

mamba create --name myenvname bioconductor-similarpeak

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-similarpeak:<tag>

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

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