- recipe gbintk
GraphBin-Tk: assembly graph-based metagenomic binning toolkit
- Homepage:
- Documentation:
- License:
GPL3 / GPL-3.0-or-later
- Recipe:
GraphBin-Tk is a toolkit that combines assembly graph-based metagenomic bin-refinement and binning techniques GraphBin, GraphBin2 and MetaCoAG.
- package gbintk¶
- versions:
1.0.0-1,1.0.0-0,0.1.0-0- depends cairo:
- depends cairocffi:
- depends click:
- depends cogent3:
- depends fraggenescan:
- depends graphbin:
- depends graphbin2:
- depends hmmer:
- depends metacoag:
>=1.2.1- depends networkx:
- depends numpy:
- depends pandas:
- depends pkg-config:
- depends python:
>=3.10,<3.11.0a0- depends python-igraph:
- depends python_abi:
3.10.* *_cp310- depends scipy:
- depends tabulate:
- 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 gbintk and update with:: mamba update gbintk
To create a new environment, run:
mamba create --name myenvname gbintk
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/gbintk:<tag> (see `gbintk/tags`_ for valid values for ``<tag>``)
Download stats¶
Link to this page¶
Render an 
badge with the following MarkDown:
[](http://bioconda.github.io/recipes/gbintk/README.html)
