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DESCRIPTION
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DESCRIPTION
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Package: dittoSeq
Type: Package
Title: User Friendly Single-Cell and Bulk RNA Sequencing Visualization
Version: 1.17.0
Authors@R: c(person("Daniel", "Bunis", email = "[email protected]", role=c("aut", "cre")),
person("Jared", "Andrews", email = "[email protected]", role=c("aut", "ctb")))
Description: 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 dittoColors().
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.3.1
Depends: ggplot2
Imports: methods,
colorspace (>= 1.4),
gridExtra,
cowplot,
reshape2,
pheatmap,
grDevices,
ggrepel,
ggridges,
stats,
utils,
SummarizedExperiment,
SingleCellExperiment,
S4Vectors
Suggests: plotly,
testthat,
Seurat (>= 2.2),
DESeq2,
edgeR,
ggplot.multistats,
knitr,
rmarkdown,
BiocStyle,
scRNAseq,
ggrastr (>= 0.2.0),
ComplexHeatmap,
bluster,
scater,
scran
biocViews:
Software,
Visualization,
RNASeq,
SingleCell,
GeneExpression,
Transcriptomics,
DataImport
VignetteBuilder: knitr