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					@ -3854,6 +3854,50 @@ originally made available by Holmes, Harris, and Quince, 2012, PLoS ONE 7(2):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