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gnu: Add r-dittoseq.

* gnu/packages/bioconductor.scm (r-dittoseq): New variable.
master
Ricardo Wurmus 2022-07-04 13:24:57 +02:00
parent e05f62bf6a
commit 602cf66c79
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@ -3854,6 +3854,50 @@ originally made available by Holmes, Harris, and Quince, 2012, PLoS ONE 7(2):
1-15.")
(license license:lgpl3)))
(define-public r-dittoseq
(package
(name "r-dittoseq")
(version "1.8.1")
(source (origin
(method url-fetch)
(uri (bioconductor-uri "dittoSeq" version))
(sha256
(base32
"0vi0hcyffaxp6yxsrq95bdlrhr85dvbqm9c7rg6a6blkfgwhlzb4"))))
(properties `((upstream-name . "dittoSeq")))
(build-system r-build-system)
(propagated-inputs
(list r-colorspace
r-cowplot
r-ggplot2
r-ggrepel
r-ggridges
r-gridextra
r-pheatmap
r-reshape2
r-s4vectors
r-singlecellexperiment
r-summarizedexperiment))
(native-inputs (list r-knitr))
(home-page "https://bioconductor.org/packages/dittoSeq")
(synopsis "Single-cell and bulk RNA sequencing visualization")
(description
"This package provides a universal, user friendly, single-cell and bulk RNA
sequencing visualization toolkit that allows highly customizable creation of
color blindness friendly, publication-quality figures. dittoSeq accepts both
SingleCellExperiment (SCE) and Seurat objects, as well as the import and
usage, via conversion to an SCE, of SummarizedExperiment or DGEList bulk data.
Visualizations include dimensionality reduction plots, heatmaps, scatterplots,
percent composition or expression across groups, and more. Customizations
range from size and title adjustments to automatic generation of annotations
for heatmaps, overlay of trajectory analysis onto any dimensionality reduciton
plot, hidden data overlay upon cursor hovering via ggplotly conversion, and
many more. All with simple, discrete inputs. Color blindness friendliness is
powered by legend adjustments (enlarged keys), and by allowing the use of
shapes or letter-overlay in addition to the carefully selected
code{dittoColors()}.")
(license license:expat)))
(define-public r-edaseq
(package
(name "r-edaseq")