recipe bolt-lmm

Efficient large cohorts genome-wide Bayesian mixed-model association testing

Homepage:

https://alkesgroup.broadinstitute.org/BOLT-LMM/

License:

GPL-3+

Recipe:

/bolt-lmm/meta.yaml

Links:

doi: 10.1038/ng.3190

package bolt-lmm

versions:

2.3.4-0

depends boost-cpp:

>=1.70.0,<1.70.1.0a0

depends libgcc-ng:

>=7.5.0

depends libstdcxx-ng:

>=7.5.0

depends nlopt:

>=2.6.2,<2.6.3.0a0

depends openblas:

depends zlib:

>=1.2.11,<1.3.0a0

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 bolt-lmm

and update with::

   mamba update bolt-lmm

To create a new environment, run:

mamba create --name myenvname bolt-lmm

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/bolt-lmm:<tag>

(see `bolt-lmm/tags`_ for valid values for ``<tag>``)

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