Docker container build on bioconductor_docker:RELEASE_3_18. see: github.com/jsschrepping/r_docker
3.0K
R studio docker container for scRNA-seq analyses build on bioconductor_docker:RELEASE_3_16 and R v4.2.2.
Installed R packages include:
DESeq2
tximport
limma
edgeR
complexheatmap
EnhancedVolcano
clusterProfiler
gage
monocle & monocle3
slingshot
SingleCellExperiment
Seurat v4.2.1
SeuratDisc
SingleR
Rcistarget
harmony
symphony
SoupX
AUcell
Ucell
DittoSeq
DiffBind
ChipSeeker
Signac
ArchR
Gviz
ChromVar
Human Annotation databases (org.Hs.eg.db, TxDb.Hsapiens.UCSC.hg38.knownGene, EnsDb.Hsapiens.v86)
and many more...
In addition, following python packages are installed to be used via reticulate:
(CellphoneDB had to be removed due to incompatibilities with python versions.)
Installed versions of packages are documented in install_log.txt For instructions on how to launch RStudio in docker please read: https://ropenscilabs.github.io/r-docker-tutorial/02-Launching-Docker.html.
Content type
Image
Digest
sha256:65a5201dd…
Size
33.2 GB
Last updated
over 2 years ago
docker pull jsschrepping/r_docker:jss_R432_bioc318_pip_conda