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LRDE

This is the development version of LRDE; for the stable release version, see LRDE.

All versions 3.24 (devel), 3.23 (release)

Differential Expression Analysis with Long Read RNA-Seq Data


Bioconductor version: Development (3.24)

Provides hurdle negative binomial models for differential expression analysis with long-read RNA-Seq data.

Author: Ziyang Liu [aut, cre] ORCID iD ORCID: 0009-0004-2098-434X , Hongxu Ding [aut, fnd], Xiaoxiao Sun [aut, fnd], Ziyuan Wang [aut, fnd]

Maintainer: Ziyang Liu <jacobleo773 at gmail.com>

Citation (from within R, enter citation("LRDE")):

Ziyang Liu, Hongxu Ding, Xiaoxiao Sun, Ziyuan Wang. LRDE: Differential Expression Analysis with Long Read RNA-Seq Data. doi:10.18129/B9.bioc.LRDE, R package version 1.1.2, https://bioconductor.org/packages/LRDE.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") and enter:

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

## The following initializes the development version of Bioconductor
BiocManager::install(version = "devel")

BiocManager::install("LRDE")

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("LRDE")
Introduction to LRDE HTML R Script
Reference ManualPDF
NEWSText
LICENSEText

Details

biocViews DifferentialExpression, GeneExpression, LongRead, RNASeq, Regression, Sequencing, Software
Version1.1.2
In Bioconductor sinceBioC 3.23 (R-4.6) (< 6 months)
License MIT + file LICENSE
Depends R (>= 4.5.0)
Imports stats, SummarizedExperiment
System Requirements
URLhttps://github.com/ziyang773/LRDE
Bug Reportshttps://github.com/ziyang773/LRDE/issues
See More
Suggests BiocStyle, knitr, rmarkdown, BiocGenerics, testthat (>= 3.0.0)
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Depends On Me
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Build Report Build Report, r-universe

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package LRDE_1.1.2.tar.gz
Windows Binary (x86_64) LRDE_1.1.2.zip
macOS Binary (big-sur-x86_64) LRDE_1.1.2.tgz
macOS Binary (sonoma-arm64) LRDE_1.1.2.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/LRDE
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/LRDE
Package Short Url https://bioconductor.org/packages/LRDE/
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