gnu: Add r-dittoseq.
* gnu/packages/bioconductor.scm (r-dittoseq): New variable.master
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@ -3854,6 +3854,50 @@ originally made available by Holmes, Harris, and Quince, 2012, PLoS ONE 7(2):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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(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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(package
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(name "r-edaseq")
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