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scQTLtools

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

Bioconductor version: 3.24 · Package version: 1.5.0

scQTLtools is a comprehensive R/Bioconductor package that facilitates end-to-end single-cell eQTL analysis, from preprocessing to visualization

Installation

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

BiocManager::install("scQTLtools")

Details

MaintainerXiaofeng Wu <1427972815@qq.com>
AuthorXiaofeng Wu [aut, cre, cph] (ORCID: <https://orcid.org/0009-0003-6254-5575>), Xin Huang [aut, cph] (ORCID: <https://orcid.org/0009-0005-2755-0357>), Jingtong Kang [com] (ORCID: <https://orcid.org/0009-0008-8343-3456>), Siwen Xu [aut, cph] (ORCID: <https://orcid.org/0000-0001-7936-0639>)
LicenseMIT + file LICENSE
URLhttps://github.com/XFWuCN/scQTLtools
Bug Reportshttps://github.com/XFWuCN/scQTLtools/issues
Downloads rank284
Source branchdevel
biocViewsDifferentialExpression, FunctionalGenomics, GeneExpression, GeneticVariability, Genetics, GenomicVariation, Normalization, Preprocessing, Regression, SNP, SingleCell, Software, SystemsBiology, VariantDetection, Visualization

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packagescQTLtools_1.5.0.tar.gz
Windows binary (x86_64)scQTLtools_1.5.0.zip
macOS binary (arm64)scQTLtools_1.5.0.tgz
macOS binary (x86_64)scQTLtools_1.5.0.tgz
Dependencies

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), yulab.utils (>= 0.2.3)

Suggests: BiocStyle, knitr, rmarkdown, org.Hs.eg.db, org.Mm.eg.db, org.Ce.eg.db, org.At.tair.db, testthat (>= 3.2.1.1)