- 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:
1.5.0-0,1.4.0-0,1.3.3-0,1.3.2-0,1.3.1-0,1.3.0-0,1.2.0-0,1.1.1-0,1.1.0-0,1.5.0-0,1.4.0-0,1.3.3-0,1.3.2-0,1.3.1-0,1.3.0-0,1.2.0-0,1.1.1-0,1.1.0-0,1.0.3-0,1.0.2-0- Depends:
on click
>=6.0on click-help-colors
>=0.3on matplotlib-base
>=2.1.0on numpy
>=1.11.0on pandas
>=0.20.3on pyfaidx
>=0.5.0on pysam
>=0.11.2.2on python
>3on quicksect
>=0.2.0on scipy
>=0.19.1on tqdm
>=4.23.4
- Additional platforms:
Installation¶
You need a conda-compatible package manager (currently either pixi, conda, or micromamba) and the Bioconda channel already activated (see Usage). Below, we show how to install with either pixi or conda (for micromamba and mamba, commands are essentially the same as with conda).
Pixi¶
With pixi installed and the Bioconda channel set up (see Usage), to install globally, run:
pixi global install ribotricer
to add into an existing workspace instead, run:
pixi add ribotricer
In the latter case, make sure to first add bioconda and conda-forge to the channels considered by the workspace:
pixi workspace channel add conda-forge
pixi workspace channel add bioconda
Conda¶
With conda installed and the Bioconda channel set up (see Usage), to install into an existing and activated environment, run:
conda install ribotricer
Alternatively, to install into a new environment, run:
conda create -n envname ribotricer
with envname being the name of the desired environment.
Container¶
Alternatively, every Bioconda package is available as a container image for usage with your preferred container runtime. For e.g. docker, run:
docker pull quay.io/biocontainers/ribotricer:<tag>
(see ribotricer/tags for valid values for <tag>).
Integrated deployment¶
Finally, note that many scientific workflow management systems directly integrate both conda and container based software deployment. Thus, workflow steps can be often directly annotated to use the package, leading to automatic deployment by the respective workflow management system, thereby improving reproducibility and transparency. Check the documentation of your workflow management system to find out about the integration.
Download stats¶
Link to this page¶
Render an badge with the following MarkDown:
[](http://bioconda.github.io/recipes/ribotricer/README.html)