recipe kmetashot

Fast taxonomic classifier for metagenome bins/MAGs based on k-mer/minimizer

Homepage:

https://github.com/gdefazio/kMetaShot

Documentation:

https://github.com/gdefazio/kMetaShot#readme

License:

GPL-3.0-only

Recipe:

/kmetashot/meta.yaml

package kmetashot

(downloads) docker_kmetashot

versions:

2.0-1,  2.0-0,  0.1.0-0

depends argcomplete:

>=1.11.1

depends bitarray:

>=1.2.1

depends h5py:

>=2.9.0

depends hdf5:

>=1.10.4

depends mmh3:

depends numba:

>=0.51.2

depends numpy:

>=1.18.1

depends pandas:

>=1.0.4

depends pytables:

>=3.6.1

depends python:

>=3.8

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 kmetashot

and update with::

   mamba update kmetashot

To create a new environment, run:

mamba create --name myenvname kmetashot

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/kmetashot:<tag>

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

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Link to this page

Render an install-with-bioconda badge with the following MarkDown:

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