recipe ditasic

DiTASiC is designed as a comprehensive approach for abundance estimation and differential abundance assessment of individual taxa in metagenomics samples.

Homepage:

https://rki_bioinformatics.gitlab.io/ditasic/

License:

MIT

Recipe:

/ditasic/meta.yaml

package ditasic

(downloads) docker_ditasic

versions:

0.2-2,  0.2-1,  0.2-0

depends biopython:

>=1.70

depends kallisto:

>=0.43.1

depends mason:

>=2.0.7

depends numpy:

>=1.8.0

depends python:

>=3

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 ditasic

and update with::

   mamba update ditasic

To create a new environment, run:

mamba create --name myenvname ditasic

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/ditasic:<tag>

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

Download stats

Link to this page

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

[![install with bioconda](https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat)](http://bioconda.github.io/recipes/ditasic/README.html)