A set of functions for generating publication-ready (sc)RNAseq figures with as simple of coding input as possible. This package attempts to be colorblind friendly by default & novice-to-coding user-friendly. It mimics and extends Seurat plotting capabilities, and enables side-by-side analysis of bulk and scRNAseq data through the creation of a Seurat-like S4 data structure for the analysis of bulk sequencing data.
|Bioconductor views||GeneExpression RNASeq SingleCell Software Transcriptomics Visualization|
|Maintainer||Daniel Bunis <[email protected]>|
|License||GPL-3 + file LICENSE|
|Package repository||View on GitHub|
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