- recipe bioconductor-schex
Hexbin plots for single cell omics data
- Homepage:
- License:
GPL-3
- Recipe:
Builds hexbin plots for variables and dimension reduction stored in single cell omics data such as SingleCellExperiment. The ideas used in this package are based on the excellent work of Dan Carr, Nicholas Lewin-Koh, Martin Maechler and Thomas Lumley.
- package bioconductor-schex¶
-
- Versions:
1.24.0-0,1.20.0-0,1.16.0-0,1.14.0-0,1.12.0-0,1.8.0-0,1.5.0-0,1.4.0-1,1.4.0-0,1.24.0-0,1.20.0-0,1.16.0-0,1.14.0-0,1.12.0-0,1.8.0-0,1.5.0-0,1.4.0-1,1.4.0-0,1.2.0-0,1.0.0-0- Depends:
on bioconductor-singlecellexperiment
>=1.32.0,<1.33.0on r-base
>=4.5,<4.6.0a0on r-cluster
on r-concaveman
on r-dplyr
on r-entropy
on r-ggforce
on r-ggplot2
>=3.2.1on r-hexbin
on r-rlang
- Additional platforms:
Installation¶
You need a conda-compatible package manager (currently either pixi, conda, or micromamba) and the Bioconda channel already activated (see Usage). Below, we show how to install with either pixi or conda (for micromamba and mamba, commands are essentially the same as with conda).
Pixi¶
With pixi installed and the Bioconda channel set up (see Usage), to install globally, run:
pixi global install bioconductor-schex
to add into an existing workspace instead, run:
pixi add bioconductor-schex
In the latter case, make sure to first add bioconda and conda-forge to the channels considered by the workspace:
pixi workspace channel add conda-forge
pixi workspace channel add bioconda
Conda¶
With conda installed and the Bioconda channel set up (see Usage), to install into an existing and activated environment, run:
conda install bioconductor-schex
Alternatively, to install into a new environment, run:
conda create -n envname bioconductor-schex
with envname being the name of the desired environment.
Container¶
Alternatively, every Bioconda package is available as a container image for usage with your preferred container runtime. For e.g. docker, run:
docker pull quay.io/biocontainers/bioconductor-schex:<tag>
(see bioconductor-schex/tags for valid values for <tag>).
Integrated deployment¶
Finally, note that many scientific workflow management systems directly integrate both conda and container based software deployment. Thus, workflow steps can be often directly annotated to use the package, leading to automatic deployment by the respective workflow management system, thereby improving reproducibility and transparency. Check the documentation of your workflow management system to find out about the integration.
Download stats¶
Link to this page¶
Render an badge with the following MarkDown:
[](http://bioconda.github.io/recipes/bioconductor-schex/README.html)