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

Population-level Representation on scRNA-Seq data

Bioconductor version: Development (3.20)

This package aims at representing and summarizing the entire single-cell profile of a sample. It allows researchers to perform important bioinformatic analyses at the sample-level such as visualization and quality control. The main functions Estimate sample distribution and calculate statistical divergence among samples, and visualize the distance matrix through MDS plots.

Author: William Torous [aut, cre] , Hao Wang [aut] , Elizabeth Purdom [aut], Boying Gong [aut]

Maintainer: William Torous <wtorous at>

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


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

if (!require("BiocManager", quietly = TRUE))

# The following initializes usage of Bioc devel


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


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

GloScope HTML R Script
Reference Manual PDF


biocViews DataRepresentation, QualityControl, RNASeq, Sequencing, SingleCell, Software
Version 1.3.0
In Bioconductor since BioC 3.18 (R-4.3) (0.5 years)
License Artistic-2.0
Depends R (>= 4.3.0)
Imports utils, stats, MASS, mclust, ggplot2, RANN, FNN, BiocParallel, mvnfast, SingleCellExperiment, rlang
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Suggests BiocStyle, testthat (>= 3.0.0), knitr, rmarkdown, zellkonverter
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Follow Installation instructions to use this package in your R session.

Source Package GloScope_1.3.0.tar.gz
Windows Binary (64-bit only)
macOS Binary (x86_64) GloScope_1.3.0.tgz
macOS Binary (arm64) GloScope_1.3.0.tgz
Source Repository git clone
Source Repository (Developer Access) git clone
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