- recipe dbcan
Standalone version of dbCAN annotation tool for automated CAZyme annotation.
- Homepage:
- Documentation:
- Developer docs:
- License:
GPL3 / GPL-3.0-or-later
- Recipe:
- Links:
doi: 10.1093/nar/gkx894, doi: 10.1093/nar/gky418, doi: 10.1093/nar/gkad328, biotools: dbcan2
- package dbcan¶
- versions:
4.1.4-1,4.1.4-0,4.1.3-0,4.1.2-0,4.1.1-0,4.1.0-0,4.0.0-0,3.0.7-0,3.0.6-0- depends biopython:
- depends blast:
- depends diamond:
- depends hmmer:
- depends matplotlib-base:
- depends natsort:
- depends numpy:
>1.19- depends openpyxl:
- depends pandas:
- depends prodigal:
- depends psutil:
- depends pyhmmer:
- depends python:
>=3.6- depends requests:
- depends scipy:
- depends session-info:
- depends tqdm:
- 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 dbcan and update with:: mamba update dbcan
To create a new environment, run:
mamba create --name myenvname dbcan
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/dbcan:<tag> (see `dbcan/tags`_ for valid values for ``<tag>``)
Download stats¶
Link to this page¶
Render an 
badge with the following MarkDown:
[](http://bioconda.github.io/recipes/dbcan/README.html)
