recipe wfa2-lib

Wavefront alignment algorithm library v2.

Homepage:

https://github.com/smarco/WFA2-lib

Documentation:

https://github.com/smarco/WFA2-lib/blob/v2.3.5/README.md

License:

MIT / MIT

Recipe:

/wfa2-lib/meta.yaml

Links:

doi: 10.1093/bioinformatics/btaa777, doi: 10.1101/2022.04.14.488380

package wfa2-lib

(downloads) docker_wfa2-lib

versions:

2.3.5-32.3.5-22.3.5-12.3.5-02.3.4-12.3.4-02.3.3-22.3.3-12.3.3-0

depends _openmp_mutex:

>=4.5

depends libgcc:

>=13

depends libstdcxx:

>=13

requirements:

additional platforms:
linux-aarch64osx-arm64

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 wfa2-lib

and update with::

   mamba update wfa2-lib

To create a new environment, run:

mamba create --name myenvname wfa2-lib

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/wfa2-lib:<tag>

(see `wfa2-lib/tags`_ for valid values for ``<tag>``)

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