recipe genomelake

Simple and efficient random access to genomic data for deep learning models.

Homepage:

https://github.com/kundajelab/genomelake

License:

BSD / BSD License

Recipe:

/genomelake/meta.yaml

Simple and efficient random access to genomic data for deep learning models.

package genomelake

versions:

0.1.4-7,  0.1.4-6,  0.1.4-5,  0.1.4-4,  0.1.4-3,  0.1.4-2,  0.1.4-1,  0.1.4-0

depends bcolz:

>=1.1

depends libgcc-ng:

>=12

depends numpy:

depends pybedtools:

depends pybigwig:

depends pysam:

depends python:

>=3.8,<3.9.0a0

depends python_abi:

3.8.* *_cp38

depends six:

>=1.9.0

requirements:

additional platforms:

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 genomelake

and update with::

   mamba update genomelake

To create a new environment, run:

mamba create --name myenvname genomelake

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/genomelake:<tag>

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

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