CAGEWorkflow

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

A step-by-step guide to analyzing CAGE data using R/Bioconductor


Bioconductor version: Release (3.20)

Workflow for analyzing Cap Analysis of Gene Expression (CAGE) data using R/Bioconductor.

Author: Malte Thodberg [aut, cre]

Maintainer: Malte Thodberg <maltethodberg at gmail.com>

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

Installation

To install this package, start R (version "4.4") and enter:


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

BiocManager::install("CAGEWorkflow")

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("CAGEWorkflow")
CAGEWorkflow HTML R Script
NEWS Text

Details

biocViews AnnotationWorkflow, GeneExpressionWorkflow, Workflow
Version 1.22.0
License GPL-3
Depends R (>= 3.6.0), CAGEfightR, nanotubes
Imports
System Requirements
URL
See More
Suggests knitr, magick, rmarkdown, BiocStyle, BiocWorkflowTools, pheatmap, ggseqlogo, viridis, magrittr, ggforce, ggthemes, tidyverse, dplyr, GenomicRanges, SummarizedExperiment, GenomicFeatures, BiocParallel, InteractionSet, Gviz, DESeq2, limma, edgeR, statmod, BiasedUrn, sva, TFBSTools, motifmatchr, pathview, BSgenome.Mmusculus.UCSC.mm9, TxDb.Mmusculus.UCSC.mm9.knownGene, org.Mm.eg.db, JASPAR2016, png
Linking To
Enhances
Depends On Me
Imports Me
Suggests Me
Links To Me

Package Archives

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

Source Package CAGEWorkflow_1.22.0.tar.gz
Windows Binary (x86_64)
macOS Binary (x86_64)
macOS Binary (arm64)
Source Repository git clone https://git.bioconductor.org/packages/CAGEWorkflow
Source Repository (Developer Access) git clone [email protected]:packages/CAGEWorkflow
Package Short Url https://bioconductor.org/packages/CAGEWorkflow/
Package Downloads Report Download Stats