- recipe ribotricer
Python package to detect translating ORF from Ribo-seq data
- Homepage:
- License:
GPL3 / GNU General Public v3 (GPLv3)
- Recipe:
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¶
- versions:
1.4.0-0,1.3.3-0,1.3.2-0,1.3.1-0,1.3.0-0,1.2.0-0,1.1.1-0,1.1.0-0,1.0.3-0,1.4.0-0,1.3.3-0,1.3.2-0,1.3.1-0,1.3.0-0,1.2.0-0,1.1.1-0,1.1.0-0,1.0.3-0,1.0.2-0- 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
myenvnamebeing 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>``)
Download stats¶
Link to this page¶
Render an 
badge with the following MarkDown:
[](http://bioconda.github.io/recipes/ribotricer/README.html)
