recipe ribotricer

Python package to detect translating ORF from Ribo-seq data

Homepage:

https://github.com/smithlabcode/ribotricer

License:

GPL3 / GNU General Public v3 (GPLv3)

Recipe:

/ribotricer/meta.yaml

Ribotricer is a method for detecting actively-translating ORFs by directly leveraging the three-nucleotide periodicity of Ribo-seq data. It accurately identifies both short and long active ORFs.

package ribotricer

(downloads) docker_ribotricer

versions:

1.3.3-01.3.2-01.3.1-01.3.0-01.2.0-01.1.1-01.1.0-01.0.3-01.0.2-0

depends click:

>=6.0

depends click-help-colors:

>=0.3

depends matplotlib-base:

>=2.1.0

depends numpy:

>=1.11.0

depends pandas:

>=0.20.3

depends pyfaidx:

>=0.5.0

depends pysam:

>=0.11.2.2

depends python:

>3

depends quicksect:

>=0.2.0

depends scipy:

>=0.19.1

depends tqdm:

>=4.23.4

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 ribotricer

and update with::

   mamba update ribotricer

To create a new environment, run:

mamba create --name myenvname ribotricer

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/ribotricer:<tag>

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

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