recipe kf2vec

K-mer frequency to vector tool.

Homepage:

https://github.com/noraracht/kf2vec

License:

APACHE / Apache-2.0

Recipe:

/kf2vec/meta.yaml

package kf2vec

versions:

1.0.62-0,  0.1.3-0

depends kmer-jellyfish:

depends numpy:

>=1.22,<1.27

depends openmpi:

4.*

depends pandas:

depends pip:

depends python:

>=3.11,<3.12

depends pytorch:

depends scikit-learn:

depends seqkit:

depends seqtk:

depends treecluster:

>=1.0.3

depends treeswift:

>=1.1.45

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 kf2vec

and update with::

   mamba update kf2vec

To create a new environment, run:

mamba create --name myenvname kf2vec

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/kf2vec:<tag>

(see `kf2vec/tags`_ for valid values for ``<tag>``)

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Link to this page

Render an badge with the following MarkDown:

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