recipe tatajuba

Identification and classification of homopolymeric tracts from reads

Homepage:

https://github.com/quadram-institute-bioscience/tatajuba

License:

GPLv3

Recipe:

/tatajuba/meta.yaml

Links:

biotools: tatajuba

package tatajuba

(downloads) docker_tatajuba

versions:

1.0.4-3,  1.0.4-2,  1.0.4-1,  1.0.4-0,  1.0.3-0,  1.0.2-0,  1.0.1-1,  1.0.1-0

depends _openmp_mutex:

>=4.5

depends libgcc-ng:

>=12

depends libzlib:

>=1.2.13,<1.3.0a0

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 tatajuba

and update with::

   mamba update tatajuba

To create a new environment, run:

mamba create --name myenvname tatajuba

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/tatajuba:<tag>

(see `tatajuba/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/tatajuba/README.html)