recipe vembrane

Filter VCF/BCF files with Python expressions.

Homepage:

https://github.com/vembrane/vembrane

License:

MIT

Recipe:

/vembrane/meta.yaml

package vembrane

(downloads) docker_vembrane

versions:
1.0.3-01.0.2-01.0.1-01.0.0-00.14.0-00.13.2-00.13.1-00.13.0-00.12.1-0

1.0.3-01.0.2-01.0.1-01.0.0-00.14.0-00.13.2-00.13.1-00.13.0-00.12.1-00.12.0-00.11.2-00.11.1-00.11.0-00.10.1-10.10.1-00.8.0-00.7.1-00.7.0-00.6.1-00.6.0-00.5.3-00.5.2-00.5.1-00.5.0-00.4.1-00.4.0-00.3.2-00.3.1-00.2.1-00.2.0-0

depends asttokens:

>=2.0,<3.0

depends intervaltree:

>=3.0,<4.0

depends numpy:

>=1.23,<2.0

depends pysam:

>=0.20,<0.21

depends python:

>=3.8,<4

depends pyyaml:

>=6.0,<7

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 vembrane

and update with::

   mamba update vembrane

To create a new environment, run:

mamba create --name myenvname vembrane

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/vembrane:<tag>

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

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