- recipe bioconductor-singlecelltk
Comprehensive and Interactive Analysis of Single Cell RNA-Seq Data
- Homepage:
https://bioconductor.org/packages/3.14/bioc/html/singleCellTK.html
- License:
MIT + file LICENSE
- Recipe:
Run common single cell analysis in the R console or directly through your browser. Includes many functions for import, quality control, normalization, batch correction, clustering, differential expression, and visualization..
- package bioconductor-singlecelltk¶
-
- Versions:
2.4.0-0
,2.2.0-0
,2.0.0-1
,2.0.0-0
,1.8.0-0
,1.6.0-1
,1.4.0-1
,1.2.3-0
- Depends:
bioconductor-annotationdbi
>=1.56.0,<1.57.0
bioconductor-batchelor
>=1.10.0,<1.11.0
bioconductor-biobase
>=2.54.0,<2.55.0
bioconductor-biocparallel
>=1.28.0,<1.29.0
bioconductor-celda
>=1.10.0,<1.11.0
bioconductor-celldex
>=1.4.0,<1.5.0
bioconductor-complexheatmap
>=2.10.0,<2.11.0
bioconductor-delayedarray
>=0.20.0,<0.21.0
bioconductor-delayedmatrixstats
>=1.16.0,<1.17.0
bioconductor-deseq2
>=1.34.0,<1.35.0
bioconductor-dropletutils
>=1.14.0,<1.15.0
bioconductor-experimenthub
>=2.2.0,<2.3.0
bioconductor-fishpond
>=2.0.0,<2.1.0
bioconductor-ggtree
>=3.2.0,<3.3.0
bioconductor-gseabase
>=1.56.0,<1.57.0
bioconductor-gsva
>=1.42.0,<1.43.0
bioconductor-gsvadata
>=1.30.0,<1.31.0
bioconductor-limma
>=3.50.0,<3.51.0
bioconductor-mast
>=1.20.0,<1.21.0
bioconductor-multtest
>=2.50.0,<2.51.0
bioconductor-s4vectors
>=0.32.0,<0.33.0
bioconductor-scater
>=1.22.0,<1.23.0
bioconductor-scdblfinder
>=1.8.0,<1.9.0
bioconductor-scds
>=1.10.0,<1.11.0
bioconductor-scmerge
>=1.10.0,<1.11.0
bioconductor-scran
>=1.22.0,<1.23.0
bioconductor-scrnaseq
>=2.8.0,<2.9.0
bioconductor-singlecellexperiment
>=1.16.0,<1.17.0
bioconductor-singler
>=1.8.0,<1.9.0
bioconductor-summarizedexperiment
>=1.24.0,<1.25.0
bioconductor-sva
>=3.42.0,<3.43.0
bioconductor-tenxpbmcdata
>=1.12.0,<1.13.0
bioconductor-tximport
>=1.22.0,<1.23.0
bioconductor-zinbwave
>=1.16.0,<1.17.0
r-base
>=4.1,<4.2.0a0
r-reticulate
>=1.14
r-seurat
>=3.1.3
r-vam
>=0.5.3
- Required By:
Installation
With an activated Bioconda channel (see set-up-channels), install with:
conda install bioconductor-singlecelltk
and update with:
conda update bioconductor-singlecelltk
or use the docker container:
docker pull quay.io/biocontainers/bioconductor-singlecelltk:<tag>
(see bioconductor-singlecelltk/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-singlecelltk/README.html)