- recipe bioconductor-scdataviz
scDataviz: single cell dataviz and downstream analyses
- Homepage:
https://bioconductor.org/packages/3.16/bioc/html/scDataviz.html
- License:
GPL-3
- Recipe:
In the single cell World, which includes flow cytometry, mass cytometry, single-cell RNA-seq (scRNA-seq), and others, there is a need to improve data visualisation and to bring analysis capabilities to researchers even from non-technical backgrounds. scDataviz attempts to fit into this space, while also catering for advanced users. Additonally, due to the way that scDataviz is designed, which is based on SingleCellExperiment, it has a 'plug and play' feel, and immediately lends itself as flexibile and compatibile with studies that go beyond scDataviz. Finally, the graphics in scDataviz are generated via the ggplot engine, which means that users can 'add on' features to these with ease.
- package bioconductor-scdataviz¶
-
- Versions:
1.8.0-0
,1.4.0-0
,1.2.0-0
,1.0.0-1
,1.0.0-0
- Depends:
bioconductor-flowcore
>=2.10.0,<2.11.0
bioconductor-s4vectors
>=0.36.0,<0.37.0
bioconductor-singlecellexperiment
>=1.20.0,<1.21.0
r-base
>=4.2,<4.3.0a0
- Required By:
Installation
With an activated Bioconda channel (see set-up-channels), install with:
conda install bioconductor-scdataviz
and update with:
conda update bioconductor-scdataviz
or use the docker container:
docker pull quay.io/biocontainers/bioconductor-scdataviz:<tag>
(see bioconductor-scdataviz/tags for valid values for
<tag>
)
Download stats¶
Link to this page¶
Render an badge with the following MarkDown:
[](http://bioconda.github.io/recipes/bioconductor-scdataviz/README.html)