CRAN/E | grandR

grandR

Comprehensive Analysis of Nucleotide Conversion Sequencing Data

Installation

About

Nucleotide conversion sequencing experiments have been developed to add a temporal dimension to RNA-seq and single-cell RNA-seq. Such experiments require specialized tools for primary processing such as GRAND-SLAM, (see 'Jürges et al' doi:10.1093/bioinformatics/bty256) and specialized tools for downstream analyses. 'grandR' provides a comprehensive toolbox for quality control, kinetic modeling, differential gene expression analysis and visualization of such data.

Citation grandR citation info
github.com/erhard-lab/grandR
Bug report File report

Key Metrics

Version 0.2.5
R ≥ 3.5.0
Published 2024-02-15 68 days ago
Needs compilation? yes
License Apache License (≥ 2)
CRAN checks grandR results

Downloads

Yesterday 16 +78%
Last 7 days 68 +55%
Last 30 days 254 -27%
Last 90 days 1.107 +28%
Last 365 days 3.471 +113%

Maintainer

Maintainer

Florian Erhard

Florian.Erhard@informatik.uni-regensburg.de

Authors

Florian Erhard

aut / cre

Teresa Rummel

ctb

Lygeri Sakellaridi

ctb

Kevin Berg

ctb

Material

README
NEWS
Reference manual
Package source

Vignettes

Getting started

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

grandR archive

Depends

R ≥ 3.5.0

Imports

stats
Matrix
rlang
ggplot2
grDevices
patchwork
RCurl
plyr
parallel
reshape2
MASS
scales
cowplot
minpack.lm
lfc
labeling
methods
utils
numDeriv

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