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Showing content from https://www.bioconductor.org/packages/devel/data/annotation/html/../../../bioc/html/scQTLtools.html below:

Bioconductor - scQTLtools (development version)

scQTLtools

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

scQTLtools: an R/Bioconductor package for comprehensive identification and visualization of single-cell eQTLs Installation

To install this package, start R (version "4.5") and enter:


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

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("scQTLtools")

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("scQTLtools")
scQTLtools: an R/Bioconductor package for comprehensive identification and visualization of single-cell eQTLs HTML R Script Reference Manual PDF NEWS Text LICENSE Text Details biocViews DifferentialExpression, FunctionalGenomics, GeneExpression, GeneticVariability, Genetics, GenomicVariation, Normalization, Preprocessing, Regression, SNP, SingleCell, Software, SystemsBiology, VariantDetection, Visualization Version 1.1.7 In Bioconductor since BioC 3.21 (R-4.5) (< 6 months) License MIT + file LICENSE Depends R (>= 4.4.1.0) Imports ggplot2 (>= 3.5.1), Matrix (>= 1.7-0), stats (>= 4.4.1), progress (>= 1.2.3), stringr (>= 1.5.1), dplyr (>= 1.1.4), SeuratObject (>= 5.0.2), methods (>= 4.4.1), magrittr (>= 2.0.3), patchwork (>= 1.2.0), DESeq2(>= 1.45.3), VGAM (>= 1.1-11), limma(>= 3.61.9), biomaRt(>= 2.61.3), gamlss (>= 5.4-22), SingleCellExperiment(>= 1.27.2), SummarizedExperiment(>= 1.32.0), GOSemSim(>= 2.31.2) System Requirements URL https://github.com/XFWuCN/scQTLtools Bug Reports https://github.com/XFWuCN/scQTLtools/issues See More Package Archives

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

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