dittoSeq: dittoSeq
In dtm2451/DittoSeq: User Friendly Single-Cell and Bulk RNA Sequencing Visualization
dittoSeq R Documentation
dittoSeq
Description
This package was built to make the visualization of single-cell and bulk RNA-sequencing data pipeline-agnostic and accessible for both experienced and novice coders, and for color vision impaired individuals.
Details
Includes many plotting functions (dittoPlot, dittoDimPlot, dittoBarPlot, dittoHeatmap, ...),
helper funtions (meta, gene, isMeta, getMetas, ...),
and color adjustment functions (Simulate, Darken, Lighten),
to aid in making sense of RNA sequencing data.
All included plotting functions produce a ggplot object (or pheatmap / Heatmap for dittoHeatmap) by default and can spit out a full plot with just a few arguments.
Many additional arguments are available for customization to generate complex, publication-ready figures.
Default dittoColors are color blindness friendly and adapted from Wong B, "Points of view: Color blindness." Nature Methods, 2011.
To report bugs, suggest new features, or ask for help, the best method is to create an issue on the github, here, or the bioconductor support site (be sure to tag 'dittoSeq' so that I get a notification!), here
Author(s)
Daniel Bunis
dtm2451/DittoSeq documentation built on May 4, 2024, 7:31 a.m.
R Package Documentation
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
| dittoSeq | R Documentation |
dittoSeq
Description
This package was built to make the visualization of single-cell and bulk RNA-sequencing data pipeline-agnostic and accessible for both experienced and novice coders, and for color vision impaired individuals.
Details
Includes many plotting functions (dittoPlot, dittoDimPlot, dittoBarPlot, dittoHeatmap, ...),
helper funtions (meta, gene, isMeta, getMetas, ...),
and color adjustment functions (Simulate, Darken, Lighten),
to aid in making sense of RNA sequencing data.
All included plotting functions produce a ggplot object (or pheatmap / Heatmap for dittoHeatmap) by default and can spit out a full plot with just a few arguments.
Many additional arguments are available for customization to generate complex, publication-ready figures.
Default dittoColors are color blindness friendly and adapted from Wong B, "Points of view: Color blindness." Nature Methods, 2011.
To report bugs, suggest new features, or ask for help, the best method is to create an issue on the github, here, or the bioconductor support site (be sure to tag 'dittoSeq' so that I get a notification!), here
Author(s)
Daniel Bunis
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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