- recipe dark-matter
Python library and utility scripts for working with genetic sequence data.
- Homepage:
- License:
MIT
- Recipe:
- package dark-matter¶
- versions:
5.1.2-0- depends biopython:
>=1.83- depends bz2file:
>=0.98- depends cachetools:
>=5.5.2- depends cython:
>=0.29.16- depends dendropy:
>=5.0.1- depends ete3:
>=3.1.3- depends ipython:
>=8.12.3- depends libgcc:
>=13- depends matplotlib-base:
>=3.7.5- depends mysql-connector-python:
>=9.0.0- depends numpy:
>=1.14.2- depends progressbar:
>=2.5- depends pysam:
>=0.23.0- depends python:
>=3.12,<3.13.0a0- depends python-edlib:
>=1.3.9- depends python_abi:
3.12.* *_cp312- depends pyzmq:
>=14.3.1- depends requests:
>=2.32.3- depends rich:
>=14.0.0- depends scikit-learn:
>=1.3.2- depends simplejson:
>=3.5.3- depends types-cachetools:
>=5.5.0- depends types-requests:
>=2.32.0- 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 dark-matter and update with:: mamba update dark-matter
To create a new environment, run:
mamba create --name myenvname dark-matter
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/dark-matter:<tag> (see `dark-matter/tags`_ for valid values for ``<tag>``)
Download stats¶
Link to this page¶
Render an 
badge with the following MarkDown:
[](http://bioconda.github.io/recipes/dark-matter/README.html)
