- recipe vcf2circos
A python package based on Plotly to help generate Circos plots from a VCF file or a JSON configuration file.
- Homepage:
- License:
AGPL / AGPL-3.0-or-later
- Recipe:
- package vcf2circos¶
- versions:
1.2.0-0
,1.1.1-0
,1.1-0
- depends colorlover:
- depends colour:
- depends dash:
0.39.0
- depends dash-daq:
0.1.0
- depends dash_colorscales:
- depends ipython:
- depends numpy:
- depends pandas:
- depends plotly:
- depends pyfiglet:
- depends python:
>=3.8
- depends python-kaleido:
- depends pyvcf3:
- depends scipy:
- depends tqdm:
- depends webcolors:
<=1.13
- 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 vcf2circos and update with:: mamba update vcf2circos
To create a new environment, run:
mamba create --name myenvname vcf2circos
with
myenvname
being 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/vcf2circos:<tag> (see `vcf2circos/tags`_ for valid values for ``<tag>``)
Download stats¶
Link to this page¶
Render an badge with the following MarkDown:
[![install with bioconda](https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat)](http://bioconda.github.io/recipes/vcf2circos/README.html)