bioc-issue-bot
commented
3 months ago Hi @XFWuCN
Thanks for submitting your package. We are taking a quick look at it and you will hear back from us soon.
The DESCRIPTION file for this package is:
Package: scQTLtools
Type: Package
Title: An R package for single-cell eQTL analysis and visualization
Version: 0.99.0
Authors@R: c(
person(given = "Xiaofeng",
family = "Wu",
email = "1427972815@qq.com",
role = c("aut", "cre", "cph"),
comment = c(ORCID = "0009-0003-6254-5575")),
person(given = "Xin",
family = "Huang",
email = "1097567240@qq.com",
role = c("aut", "cph")),
person(given = "Jingtong",
family = "Kang",
email = "1203178107@qq.com",
role = "com"),
person(given = "Siwen",
family = "Xu",
email = "siwxu@gdpu.edu.cn",
role = c("aut", "cph"))
)
Description: This package specializes in analyzing and visualizing eQTL at the
single-cell level. It can read gene expression matrices or Seurat data,
along with genotype data. It offers a function for cis-eQTL analysis to
detect eQTL within a given range, and another function to fit models with
three methods. Using this package, users can also generate single-cell
level visualization result.
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),
AnnotationDbi(>= 1.67.0),
VGAM (>= 1.1-11),
limma (>= 3.61.9),
biomaRt(>= 2.61.3),
org.Hs.eg.db (>= 3.19.1),
org.Mm.eg.db (>= 3.19.1),
gamlss (>= 5.4-22)
Suggests:
BiocStyle,
knitr,
rmarkdown,
testthat (>= 3.2.1.1)
License: MIT + file LICENSE
URL: https://github.com/XFWuCN/scQTLtools
VignetteBuilder: knitr
BugReports: https://github.com/XFWuCN/scQTLtools/issues
biocViews: Software,GeneExpression,GeneticVariability,SNP,
DifferentialExpression,GenomicVariation,VariantDetection,Genetics,
FunctionalGenomics,SystemsBiology,Regression,SingleCell,Normalization,
Visualization
Encoding: UTF-8
RoxygenNote: 7.3.2
LazyData: false
Config/testthat/edition: 3
lshep
XFWuCN
jianhong
Hello Bioconductor team, I am submitting my R package {scQTLtools} for consideration for Bioconductor release.
Confirm the following by editing each check box to '[x]'
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[x] My package addresses statistical or bioinformatic issues related to the analysis and comprehension of high throughput genomic data.
[x] I am committed to the long-term maintenance of my package. This includes monitoring the support site for issues that users may have, subscribing to the bioc-devel mailing list to stay aware of developments in the Bioconductor community, responding promptly to requests for updates from the Core team in response to changes in R or underlying software.
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