- recipe mirge3
Comprehensive analysis of small RNA sequencing Data
- Homepage:
- Documentation:
- License:
MIT / MIT
- Recipe:
Comprehensive analysis of small RNA sequencing data
- package mirge3¶
- versions:
0.1.4-1,0.1.4-0,0.1.2-1,0.1.2-0,0.1.1-0,0.0.9-0,0.0.8-0,0.0.7-0,0.0.6-0,0.1.4-1,0.1.4-0,0.1.2-1,0.1.2-0,0.1.1-0,0.0.9-0,0.0.8-0,0.0.7-0,0.0.6-0,0.0.5-0,0.0.4-1,0.0.4-0,0.0.2-0,0.0.1-0- depends bioconductor-deseq2:
- depends biopython:
- depends bowtie:
- depends cutadapt:
- depends future:
>=0.18.2- depends joblib:
>=0.15.1- depends matplotlib-base:
- depends pandas:
- depends python:
- depends r-ggplot2:
- depends reportlab:
>=3.5.42- depends samtools:
- depends scikit-learn:
- depends scipy:
>=1.4.1- depends viennarna:
- requirements:
- additional platforms:
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 mirge3 and update with:: mamba update mirge3
To create a new environment, run:
mamba create --name myenvname mirge3
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/mirge3:<tag> (see `mirge3/tags`_ for valid values for ``<tag>``)
Download stats¶
Link to this page¶
Render an 
badge with the following MarkDown:
[](http://bioconda.github.io/recipes/mirge3/README.html)
