recipe variantbam

Filtering and profiling of next-generational sequencing data using region-specific rules

Homepage:

https://github.com/jwalabroad/VariantBam

License:

GPLv3

Recipe:

/variantbam/meta.yaml

package variantbam

(downloads) docker_variantbam

versions:
1.4.4a-81.4.4a-71.4.4a-61.4.4a-51.4.4a-41.4.4a-31.4.4a-21.4.4a-11.4.4a-0

1.4.4a-81.4.4a-71.4.4a-61.4.4a-51.4.4a-41.4.4a-31.4.4a-21.4.4a-11.4.4a-01.4.3-01.3.0-01.2.1_2015.01.08-0

depends bzip2:

>=1.0.8,<2.0a0

depends libgcc-ng:

>=12

depends libstdcxx-ng:

>=12

depends libzlib:

>=1.2.13,<1.3.0a0

depends xz:

>=5.2.6,<6.0a0

depends zlib:

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 variantbam

and update with::

   mamba update variantbam

To create a new environment, run:

mamba create --name myenvname variantbam

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/variantbam:<tag>

(see `variantbam/tags`_ for valid values for ``<tag>``)

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