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erccdashboard

This is the released version of erccdashboard; for the devel version, see erccdashboard.

All versions 3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13, 3.12, 3.11, 3.10, 3.9, 3.8, 3.7, 3.6, 3.5, 3.4, 3.3, 3.2, 3.1, 3.0

Assess Differential Gene Expression Experiments with ERCC Controls


Bioconductor version: Release (3.23)

Technical performance metrics for differential gene expression experiments using External RNA Controls Consortium (ERCC) spike-in ratio mixtures.

Author: Sarah Munro, Steve Lund

Maintainer: Sarah Munro <sarah.munro at gmail.com>

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

Sarah Munro, Steve Lund. erccdashboard: Assess Differential Gene Expression Experiments with ERCC Controls. doi:10.18129/B9.bioc.erccdashboard, R package version 1.46.0, https://bioconductor.org/packages/erccdashboard.

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")

BiocManager::install("erccdashboard")

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("erccdashboard")
erccdashboard introduction HTML R Script
Reference ManualPDF
NEWSText

Details

biocViews AlternativeSplicing, BatchEffect, DifferentialExpression, DifferentialSplicing, GeneExpression, Genetics, ImmunoOncology, Microarray, MultipleComparison, QualityControl, RNASeq, Software, Transcription, mRNAMicroarray
Version1.46.0
In Bioconductor sinceBioC 3.0 (R-3.1) (12 years)
License GPL (>=2)
Depends R (>= 4.0), ggplot2 (>= 2.1.0), gridExtra (>= 2.0.0)
Imports edgeR, gplots, grid, gtools, limma, locfit, MASS, plyr, qvalue, reshape2, ROCR, scales, stringr, knitr
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Suggests BiocStyle, knitr, rmarkdown
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Package Archives

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

Source Package erccdashboard_1.46.0.tar.gz
Windows Binary (x86_64) erccdashboard_1.46.0.zip
macOS Binary (big-sur-x86_64) erccdashboard_1.46.0.tgz
macOS Binary (sonoma-arm64) erccdashboard_1.46.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/erccdashboard
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/erccdashboard
Package Short Url https://bioconductor.org/packages/erccdashboard/
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