recipe kmtricks

A k-mer matrix framework

Homepage:

https://github.com/tlemane/kmtricks

Documentation:

https://github.com/tlemane/kmtricks/wiki

Developer docs:

https://github.com/tlemane/kmtricks/

License:

AGPL / AGPL-3.0

Recipe:

/kmtricks/meta.yaml

kmtricks allows for efficient construction of k-mer and Bloom filter matrices from large read collections

package kmtricks

(downloads) docker_kmtricks

versions:

1.4.0-0

depends libgcc-ng:

>=12

depends libstdcxx-ng:

>=12

depends zlib:

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 kmtricks

and update with::

   mamba update kmtricks

To create a new environment, run:

mamba create --name myenvname kmtricks

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/kmtricks:<tag>

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

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