compcodeR
RNAseq data simulation, differential expression analysis and performance comparison of differential expression methods
Bioconductor version: Release (3.17)
This package provides extensive functionality for comparing results obtained by different methods for differential expression analysis of RNAseq data. It also contains functions for simulating count data. Finally, it provides convenient interfaces to several packages for performing the differential expression analysis. These can also be used as templates for setting up and running a user-defined differential analysis workflow within the framework of the package.
Author: Charlotte Soneson [aut, cre] 
, Paul Bastide [aut] , Mélina Gallopin [aut] (0000-0002-2431-7825 )
Maintainer: Charlotte Soneson <charlottesoneson at gmail.com>
citation("compcodeR")):
Installation
To install this package, start R (version "4.3") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("compcodeR")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("compcodeR")| compcodeR | HTML | R Script |
| phylocompcodeR | HTML | R Script |
| Reference Manual | ||
| NEWS | Text |
Details
| biocViews | DifferentialExpression, ImmunoOncology, RNASeq, Software |
| Version | 1.36.2 |
| In Bioconductor since | BioC 2.14 (R-3.1) (9.5 years) |
| License | GPL (>= 2) |
| Depends | R (>= 4.0), sm |
| Imports | tcltk, knitr (>= 1.2), markdown, ROCR, lattice (>= 0.16), gplots, gtools, caTools, grid, KernSmooth, MASS, ggplot2, stringr, modeest, edgeR, limma, vioplot, methods, stats, utils, ape, phylolm, matrixStats, grDevices, graphics |
| Linking To | |
| Suggests | BiocStyle, EBSeq, DESeq2(>= 1.1.31), baySeq(>= 2.2.0), genefilter, NOISeq, TCC, NBPSeq (>= 0.3.0), rmarkdown, phytools, phangorn, testthat, ggtree, tidytree, statmod, covr, sva |
| System Requirements | |
| Enhances | rpanel, DSS |
| URL | https://github.com/csoneson/compcodeR |
| Bug Reports | https://github.com/csoneson/compcodeR/issues |
See More
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Links To Me | |
| Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | compcodeR_1.36.2.tar.gz |
| Windows Binary | compcodeR_1.36.2.zip (64-bit only) |
| macOS Binary (x86_64) | compcodeR_1.36.2.tgz |
| macOS Binary (arm64) | compcodeR_1.36.2.tgz |
| Source Repository | git clone https://git.bioconductor.org/packages/compcodeR |
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/compcodeR |
| Bioc Package Browser | https://code.bioconductor.org/browse/compcodeR/ |
| Package Short Url | https://bioconductor.org/packages/compcodeR/ |
| Package Downloads Report | Download Stats |
| Old Source Packages for BioC 3.17 | Source Archive |