recipe vcflib

Command-line tools for manipulating VCF files

Homepage:

https://github.com/vcflib/vcflib

License:

MIT / MIT

Recipe:

/vcflib/meta.yaml

Links:

biotools: vcflib, doi: 10.1371/journal.pcbi.1009123, usegalaxy-eu: vcfsort

package vcflib

(downloads) docker_vcflib

versions:
1.0.9-61.0.9-51.0.9-41.0.9-31.0.9-21.0.9-11.0.9-01.0.3-41.0.3-3

1.0.9-61.0.9-51.0.9-41.0.9-31.0.9-21.0.9-11.0.9-01.0.3-41.0.3-31.0.3-21.0.3-11.0.3-01.0.2-61.0.2-51.0.2-41.0.2-31.0.2-21.0.2-11.0.2-01.0.1-11.0.0_rc3-01.0.0_rc2-21.0.0_rc2-11.0.0_rc2-01.0.0_rc1-31.0.0_rc1-11.0.0_rc1-01.0.0_rc0-0

depends _openmp_mutex:

>=4.5

depends eigen:

depends htslib:

>=1.19.1,<1.21.0a0

depends jsoncpp:

depends libgcc-ng:

>=12

depends libstdcxx-ng:

>=12

depends libzlib:

>=1.2.13,<1.3.0a0

depends perl:

depends python:

>=3

depends tabixpp:

>=1.1.2,<1.1.3.0a0

depends wfa2-lib:

>=2.3.4,<2.4.0a0

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 vcflib

and update with::

   mamba update vcflib

To create a new environment, run:

mamba create --name myenvname vcflib

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/vcflib:<tag>

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

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