- recipe gecco
Biosynthetic Gene Cluster prediction with Conditional Random Fields.
- Homepage:
- License:
GPL / GPL-3
- Recipe:
- Links:
- package gecco¶
- versions:
0.9.10-0,0.9.8-0,0.9.6-0,0.9.5-0,0.9.2-0,0.9.1-0,0.8.10-0,0.8.9-0,0.8.8-0,0.9.10-0,0.9.8-0,0.9.6-0,0.9.5-0,0.9.2-0,0.9.1-0,0.8.10-0,0.8.9-0,0.8.8-0,0.8.7-0,0.8.6-0,0.8.5-0,0.8.4-0,0.8.0-0,0.7.0-0,0.6.3-0,0.6.2-0- depends biopython:
>=1.73- depends docopt:
>=0.6.2- depends fisher:
>=0.1.9- depends importlib_metadata:
>=4.0- depends importlib_resources:
>=1.0- depends numpy:
>=1.16- depends polars:
>=0.16.1- depends psutil:
>=5.8- depends pyhmmer:
>=0.10.0- depends pyrodigal:
>=3.0- depends python:
>=3.7- depends rich:
>=12.4.0- depends scikit-learn:
>=1.0- depends scipy:
>=1.4- depends sklearn-crfsuite:
>=0.3.6- depends statsmodels:
>=0.13- 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 gecco and update with:: mamba update gecco
To create a new environment, run:
mamba create --name myenvname gecco
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/gecco:<tag> (see `gecco/tags`_ for valid values for ``<tag>``)
Download stats¶
Link to this page¶
Render an 
badge with the following MarkDown:
[](http://bioconda.github.io/recipes/gecco/README.html)
