- recipe rpbp
Ribosome profiling with Bayesian predictions (Rp-Bp)
- Homepage:
- License:
MIT / MIT
- Recipe:
- package rpbp¶
- versions:
3.0.2-1,3.0.2-0,3.0.1-1,3.0.1-0- depends biopython:
- depends bowtie2:
- depends cmdstanpy:
>=1.0.0- depends dash:
- depends dash-bio:
- depends dash-bootstrap-components:
- depends fastqc:
- depends flexbar:
- depends joblib:
- depends libgcc-ng:
>=12- depends libstdcxx-ng:
>=12- depends numpy:
- depends pandas:
- depends pbiotools:
>=4.0.1- depends pysam:
>0.9.1- depends python:
>=3.10,<3.11.0a0- depends python_abi:
3.10.* *_cp310- depends pyyaml:
- depends samtools:
- depends scipy:
- depends star:
- depends statsmodels:
- 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 rpbp and update with:: mamba update rpbp
To create a new environment, run:
mamba create --name myenvname rpbp
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/rpbp:<tag> (see `rpbp/tags`_ for valid values for ``<tag>``)
Download stats¶
Link to this page¶
Render an 
badge with the following MarkDown:
[](http://bioconda.github.io/recipes/rpbp/README.html)
