Bioconductor version: Release (3.15)
Creation of a HTML report of differential expression analyses of count data. It integrates some of the code mentioned in DESeq2 and edgeR vignettes, and report a ranked list of genes according to the fold changes mean and variability for each selected gene.
Author: Lorena Pantano [aut, cre], John Hutchinson [ctb], Victor Barrera [ctb], Mary Piper [ctb], Radhika Khetani [ctb], Kenneth Daily [ctb], Thanneer Malai Perumal [ctb], Rory Kirchner [ctb], Michael Steinbaugh [ctb]
Maintainer: Lorena Pantano <lorena.pantano at gmail.com>
Citation (from within R,
enter citation("DEGreport")
):
To install this package, start R (version "4.2") and enter:
if (!require("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("DEGreport")
For older versions of R, please refer to the appropriate Bioconductor release.
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("DEGreport")
HTML | R Script | QC and downstream analysis for differential expression RNA-seq |
Reference Manual | ||
Text | NEWS | |
Text | LICENSE |
biocViews | DifferentialExpression, GeneExpression, ImmunoOncology, RNASeq, ReportWriting, Software, Visualization |
Version | 1.32.0 |
In Bioconductor since | BioC 3.0 (R-3.1) (8 years) |
License | MIT + file LICENSE |
Depends | R (>= 3.6.0) |
Imports | utils, methods, Biobase, BiocGenerics, broom, circlize, ComplexHeatmap, cowplot, ConsensusClusterPlus, cluster, DESeq2, dplyr, edgeR, ggplot2, ggdendro, grid, ggrepel, grDevices, knitr, logging, lasso2, magrittr, Nozzle.R1, psych, RColorBrewer, reshape, rlang, scales, stats, stringr, S4Vectors, SummarizedExperiment, tidyr, tibble |
LinkingTo | |
Suggests | BiocStyle, AnnotationDbi, limma, pheatmap, rmarkdown, statmod, testthat |
SystemRequirements | |
Enhances | |
URL | http://lpantano.github.io/DEGreport/ |
BugReports | https://github.com/lpantano/DEGreport/issues |
Depends On Me | |
Imports Me | isomiRs |
Suggests Me | |
Links To Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | DEGreport_1.32.0.tar.gz |
Windows Binary | DEGreport_1.32.0.zip (64-bit only) |
macOS Binary (x86_64) | DEGreport_1.32.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/DEGreport |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/DEGreport |
Package Short Url | https://bioconductor.org/packages/DEGreport/ |
Package Downloads Report | Download Stats |
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