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Population-level Representation on scRNA-Seq data

Bioconductor version: Release (3.19)

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))


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 1.2.0
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_1.2.0.tar.gz
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macOS Binary (x86_64) GloScope_1.2.0.tgz
macOS Binary (arm64) GloScope_1.2.0.tgz
Source Repository git clone
Source Repository (Developer Access) git clone
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