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dittoSeq

This is the development version of dittoSeq; for the stable release version, see dittoSeq.

User Friendly Single-Cell and Bulk RNA Sequencing Visualization


Bioconductor version: Development (3.19)

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().

Author: Daniel Bunis [aut, cre], Jared Andrews [aut, ctb]

Maintainer: Daniel Bunis <daniel.bunis at ucsf.edu>

Citation (from within R, enter citation("dittoSeq")):

Installation

To install this package, start R (version "4.4") and enter:


if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("dittoSeq")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("dittoSeq")
Annotating scRNA-seq data HTML R Script
Reference Manual PDF
NEWS Text
LICENSE Text

Details

biocViews DataImport, GeneExpression, RNASeq, SingleCell, Software, Transcriptomics, Visualization
Version 1.15.4
In Bioconductor since BioC 3.11 (R-4.0) (4 years)
License MIT + file LICENSE
Depends ggplot2
Imports methods, colorspace (>= 1.4), gridExtra, cowplot, reshape2, pheatmap, grDevices, ggrepel, ggridges, stats, utils, SummarizedExperiment, SingleCellExperiment, S4Vectors
System Requirements
URL
See More
Suggests plotly, testthat, Seurat (>= 2.2), DESeq2, edgeR, ggplot.multistats, knitr, rmarkdown, BiocStyle, scRNAseq, ggrastr (>= 0.2.0), ComplexHeatmap, bluster, scater, scran
Linking To
Enhances
Depends On Me
Imports Me CRISPRball, SPIAT
Suggests Me demuxSNP, escape, tidySingleCellExperiment, tidySpatialExperiment
Links To Me
Build Report Build Report

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package dittoSeq_1.15.4.tar.gz
Windows Binary dittoSeq_1.15.4.zip (64-bit only)
macOS Binary (x86_64) dittoSeq_1.15.4.tgz
macOS Binary (arm64) dittoSeq_1.15.3.tgz
Source Repository git clone https://git.bioconductor.org/packages/dittoSeq
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/dittoSeq
Bioc Package Browser https://code.bioconductor.org/browse/dittoSeq/
Package Short Url https://bioconductor.org/packages/dittoSeq/
Package Downloads Report Download Stats