recipe bam-readcount

bam-readcount generates metrics at single nucleotide positions.

Homepage:

https://github.com/genome/bam-readcount

Documentation:

https://github.com/genome/bam-readcount/blob/master/README.md

License:

MIT / MIT

Recipe:

/bam-readcount/meta.yaml

Links:

doi: 10.21105/joss.03722, biotools: bam-readcount

package bam-readcount

(downloads) docker_bam-readcount

versions:

1.0.1-2,  1.0.1-1,  1.0.1-0,  0.8-4,  0.8-3,  0.8-2,  0.8-1

depends libgcc-ng:

>=12

depends libstdcxx-ng:

>=12

depends libzlib:

>=1.2.13,<2.0a0

depends python:

requirements:

additional platforms:
linux-aarch64

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 bam-readcount

and update with::

   mamba update bam-readcount

To create a new environment, run:

mamba create --name myenvname bam-readcount

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/bam-readcount:<tag>

(see `bam-readcount/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/bam-readcount/README.html)