recipe hitac

A hierarchical taxonomic classifier for fungal ITS sequences

Homepage:

https://gitlab.com/dacs-hpi/hitac

License:

BSD / BSD-3-Clause

Recipe:

/hitac/meta.yaml

Links:

biotools: hitac

HiTaC is a software for hierarchical taxonomic classification for fungal ITS sequences. It is pure python code compatible with Python 3.8+ and requires hiclass, numpy, pandas, scikit-bio and scikit-learn.

package hitac

(downloads) docker_hitac

versions:
2.2.2-0,  2.2.1-0,  2.2.0-0,  2.1.1-0,  2.1.0-0,  2.0.30-0,  2.0.29-0,  2.0.28-0,  2.0.23-0, 

2.2.2-0,  2.2.1-0,  2.2.0-0,  2.1.1-0,  2.1.0-0,  2.0.30-0,  2.0.29-0,  2.0.28-0,  2.0.23-0,  2.0.22-0,  2.0.21-1,  2.0.21-0,  2.0.20-1,  2.0.20-0,  2.0.19-0,  2.0.16-0,  2.0.15-0,  2.0.10-1,  2.0.10-0,  2.0.9-1,  2.0.9-0,  2.0.8-0,  2.0.6-0,  2.0.5-0,  2.0.4-0,  1.5.9-0,  1.5.8-0,  1.5.4-0,  1.5.1-0,  1.4-0,  1.3-0,  1.1-0

depends hiclass:

4.1.7

depends numpy:

>=1.22.3

depends pandas:

>=1.4.3

depends python:

>=3.7

depends scikit-bio:

>=0.5

depends scikit-learn:

>=0.24

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 hitac

and update with::

   mamba update hitac

To create a new environment, run:

mamba create --name myenvname hitac

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/hitac:<tag>

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

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