recipe shortseq

\ ShortSeqs are compact and efficient Python objects that hold short sequences while using up to 73% less memory compared to built-in types. They have a pre-computed hash value, can be compared for equality, and are easily converted back to the original sequence string.

Homepage:

https://github.com/AlexTate/ShortSeq

License:

MIT

Recipe:

/shortseq/meta.yaml

package shortseq

versions:

0.0.1-0

depends libgcc-ng:

>=12

depends libstdcxx-ng:

>=12

depends numpy:

>=1.21.6,<2.0a0

depends python:

>=3.10,<3.11.0a0

depends python_abi:

3.10.* *_cp310

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 shortseq

and update with::

   mamba update shortseq

To create a new environment, run:

mamba create --name myenvname shortseq

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/shortseq:<tag>

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

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