recipe ribominer

A python toolset for mining multi-dimensional features of the translatome with ribosome profiling data

Homepage:

https://github.com/xryanglab/RiboMiner

License:

GPL3 / GPLv3.0

Recipe:

/ribominer/meta.yaml

package ribominer

versions:

0.2.3.2-0,  0.2.3.1-0

depends biopython:

>=1.70

depends htseq:

depends matplotlib-base:

depends numpy:

>=1.16.4

depends pandas:

>=0.24.2

depends pysam:

>=0.15.2

depends pysamstats:

depends python:

depends ribocode:

>=1.2.10

depends scipy:

>=1.1.0

depends seaborn:

>=0.8.1

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 ribominer

and update with::

   mamba update ribominer

To create a new environment, run:

mamba create --name myenvname ribominer

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/ribominer:<tag>

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

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Link to this page

Render an 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/ribominer/README.html)