recipe riboraptor

Python package to analyse ribosome profiling data




BSD / BSD License



package riboraptor

(downloads) docker_riboraptor



depends biopython:


depends click:


depends click-help-colors:


depends fastqc:

depends htseq:


depends matplotlib:


depends numpy:


depends pandas:


depends pybedtools:


depends pybigwig:


depends pyfaidx:


depends pysam:


depends python:


depends scipy:


depends seaborn:


depends six:


depends snakemake:

depends sra-tools:

depends star:

depends statsmodels:


depends trim-galore:

depends ucsc-bedgraphtobigwig:

depends ucsc-bedsort:



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 riboraptor

and update with::

   mamba update riboraptor

To create a new environment, run:

mamba create --name myenvname riboraptor

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<tag>

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

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