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GloScope

This is the released version of GloScope; for the devel version, see GloScope.

Population-level Representation on scRNA-Seq data


Bioconductor version: Release (3.23)

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: Elizabeth Purdom [aut, cre], William Torous [aut] ORCID iD ORCID: 0000-0001-5668-5510 , Hao Wang [aut] ORCID iD ORCID: 0000-0002-0749-474X , Boying Gong [aut]

Maintainer: Elizabeth Purdom <epurdom at stat.berkeley.edu>

Citation (from within R, enter citation("GloScope")):
Seminal Bioconductor project articles:

Huber W, Carey VJ, Gentleman R, Anders S, Carlson M, Carvalho BS, Bravo HC, Davis S, Gatto L, Girke T, Gottardo R, Hahne F, Hansen KD, Irizarry RA, Lawrence M, Love MI, MacDonald J, Obenchain V, Oleś AK, Pagès H, Reyes A, Shannon P, Smyth GK, Tenenbaum D, Waldron L, Morgan M (2015). "Orchestrating high-throughput genomic analysis with Bioconductor." Nature Methods, 12(2), 115–121. doi:10.1038/nmeth.3252.

Gentleman RC, Carey VJ, Bates DM, Bolstad B, Dettling M, Dudoit S, Ellis B, Gautier L, Ge Y, Gentry J, Hornik K, Hothorn T, Huber W, Iacus S, Irizarry R, Leisch F, Li C, Maechler M, Rossini AJ, Sawitzki G, Smith C, Smyth G, Tierney L, Yang JYH, Zhang J (2004). "Bioconductor: open software development for computational biology and bioinformatics." Genome Biology, 5(10), R80. doi:10.1186/gb-2004-5-10-r80.

Installation

To install this package, start R (version "4.6") and enter:


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

BiocManager::install("GloScope")

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("GloScope")
GloScope HTML R Script
Reference Manual PDF
NEWS Text

Details

biocViews DataRepresentation, QualityControl, RNASeq, Sequencing, SingleCell, Software
Version 2.2.0
In Bioconductor since BioC 3.18 (R-4.3) (3 years)
License Artistic-2.0
Depends R (>= 4.4.0)
Imports utils, stats, MASS, mclust, ggplot2, RANN, FNN, BiocParallel, mvnfast, SingleCellExperiment, rlang, RColorBrewer, pheatmap, vegan, cluster, boot, permute
System Requirements
URL
Bug Reports https://github.com/epurdom/GloScope/issues
See More
Suggests BiocStyle, testthat (>= 3.0.0), knitr, rmarkdown, zellkonverter
Linking To
Enhances
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report Build Report

Package Archives

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

Source Package GloScope_2.2.0.tar.gz
Windows Binary (x86_64) GloScope_2.2.0.zip
macOS Binary (big-sur-x86_64) GloScope_2.2.0.tgz
macOS Binary (sonoma-arm64) GloScope_2.2.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/GloScope
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/GloScope
Bioc Package Browser https://code.bioconductor.org/browse/GloScope/
Package Short Url https://bioconductor.org/packages/GloScope/
Package Downloads Report Download Stats