scQTLtools
scQTLtools: an R/Bioconductor package for comprehensive identification and visualization of single-cell eQTLs
Bioconductor version: 3.23 · Package version: 1.4.0
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
| Maintainer | Xiaofeng Wu <1427972815@qq.com> |
| Author | Xiaofeng 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>) |
| License | MIT + file LICENSE |
| URL | https://github.com/XFWuCN/scQTLtools |
| Bug Reports | https://github.com/XFWuCN/scQTLtools/issues |
| Downloads rank | 126 |
| Source branch | RELEASE_3_23 |
| biocViews | DifferentialExpression, FunctionalGenomics, GeneExpression, GeneticVariability, Genetics, GenomicVariation, Normalization, Preprocessing, Regression, SNP, SingleCell, Software, SystemsBiology, VariantDetection, Visualization |
Documentation
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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)