- recipe enrichm
EnrichM is a toolbox for comparing the functional composition of population genomes
- Homepage:
- License:
GPL3 / GPL3+
- Recipe:
- package enrichm¶
- versions:
0.6.5-0,0.6.4-0,0.6.3-0,0.6.2-0,0.5.0-0- depends biopython:
>=1.66- depends diamond:
0.9.22- depends hmmer:
>=3.1b- depends mcl:
>=14.137- depends mmseqs2:
>=2.23394- depends moreutils:
- depends numpy:
>=1.9.1- depends openmp:
- depends pandas:
>=0.17.1- depends parallel:
>=20180222- depends prodigal:
>=2.6.3- depends python:
>=3.6- depends python-dateutil:
>=2.5.1- depends r-base:
- depends r-gridextra:
- depends r-optparse:
- depends scikit-learn:
- depends scipy:
>=0.17.0- depends seqmagick:
- depends six:
>=1.10.0- depends statsmodels:
>=0.8.0rc1- 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 enrichm and update with:: mamba update enrichm
To create a new environment, run:
mamba create --name myenvname enrichm
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/enrichm:<tag> (see `enrichm/tags`_ for valid values for ``<tag>``)
Download stats¶
Link to this page¶
Render an 
badge with the following MarkDown:
[](http://bioconda.github.io/recipes/enrichm/README.html)
