This is the development version of CAGEWorkflow; for the stable release version, see CAGEWorkflow.
A step-by-step guide to analyzing CAGE data using R/BioconductorBioconductor version: Development (3.22)
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, entercitation("CAGEWorkflow")
): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("CAGEWorkflow")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("CAGEWorkflow")
Details 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.
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