Bioconductor - scQTLtools
Bioconductor 3.22
Software Packages
scQTLtools
scQTLtools
This is the
released
version of scQTLtools; for the devel version, see
scQTLtools
scQTLtools: an R/Bioconductor package for comprehensive identification and visualization of single-cell eQTLs
DOI:
10.18129/B9.bioc.scQTLtools
Bioconductor version:
Release (3.22)
scQTLtools is a comprehensive R/Bioconductor package that facilitates end-to-end single-cell eQTL analysis, from preprocessing to visualization
Author:
Xiaofeng Wu [aut, cre, cph]
ORCID: 0009-0003-6254-5575
, Xin Huang [aut, cph]
ORCID: 0009-0005-2755-0357
, Jingtong Kang [com]
ORCID: 0009-0008-8343-3456
, Siwen Xu [aut, cph]
ORCID: 0000-0001-7936-0639
Maintainer:
Xiaofeng Wu <1427972815 at qq.com>
Citation (from within R, enter
citation("scQTLtools")
):
Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
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
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Reference Manual
PDF
NEWS
Text
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Text
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Details
biocViews
DifferentialExpression
FunctionalGenomics
GeneExpression
GeneticVariability
Genetics
GenomicVariation
Normalization
Preprocessing
Regression
SNP
SingleCell
Software
SystemsBiology
VariantDetection
Visualization
Version
1.2.4
In Bioconductor since
BioC 3.21 (R-4.5) (1 year)
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),
yulab.utils
(>= 0.2.3)
System Requirements
URL
Bug Reports
See More
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)
Linking To
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Build Report
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Installation
instructions to use this package in your R session.
Source Package
scQTLtools_1.2.4.tar.gz
Windows Binary (x86_64)
scQTLtools_1.2.4.zip
macOS Binary (x86_64)
scQTLtools_1.2.4.tgz
macOS Binary (arm64)
scQTLtools_1.2.4.tgz
Source Repository
git clone https://git.bioconductor.org/packages/scQTLtools
Source Repository (Developer Access)
git clone git@git.bioconductor.org:packages/scQTLtools
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