- recipe vcfpy
Python 3 VCF library with good support for both reading and writing
- package vcfpy¶
- depends pysam:
- depends python:
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 vcfpy and update with:: mamba update vcfpy
To create a new environment, run:
mamba create --name myenvname vcfpy
myenvnamebeing 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/vcfpy:<tag> (see `vcfpy/tags`_ for valid values for ``<tag>``)