CAGEr

Analysis of CAGE (Cap Analysis of Gene Expression) sequencing data for precise mapping of transcription start sites and promoterome mining


Bioconductor version: Release (3.19)

Preprocessing of CAGE sequencing data, identification and normalization of transcription start sites and downstream analysis of transcription start sites clusters (promoters).

Author: Vanja Haberle [aut], Charles Plessy [cre], Damir Baranasic [ctb], Sarvesh Nikumbh [ctb]

Maintainer: Charles Plessy <charles.plessy at oist.jp>

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

Installation

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


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

BiocManager::install("CAGEr")

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("CAGEr")
CAGEr: an R package for CAGE data analysis and promoterome mining HTML R Script
Use of CAGE resources with CAGEr HTML R Script
Reference Manual PDF
NEWS Text

Details

biocViews Clustering, FunctionalGenomics, GeneExpression, Normalization, Preprocessing, Sequencing, Software, Transcription, Visualization
Version 2.10.0
In Bioconductor since BioC 2.12 (R-3.0) (11.5 years)
License GPL-3
Depends methods, MultiAssayExperiment, R (>= 4.1.0)
Imports BiocGenerics, BiocParallel, BSgenome, CAGEfightR, data.table, DelayedArray, DelayedMatrixStats, formula.tools, GenomeInfoDb, GenomicAlignments, GenomicRanges(>= 1.37.16), ggplot2 (>= 2.2.0), gtools, IRanges(>= 2.18.0), KernSmooth, memoise, plyr, Rsamtools, reshape2, rtracklayer, S4Vectors(>= 0.27.5), som, stringdist, stringi, SummarizedExperiment, utils, vegan, VGAM
System Requirements
URL
See More
Suggests BSgenome.Drerio.UCSC.danRer7, DESeq2, FANTOM3and4CAGE, BiocStyle, knitr, rmarkdown
Linking To
Enhances
Depends On Me
Imports Me
Suggests Me seqArchRplus, seqPattern
Links To Me
Build Report Build Report

Package Archives

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

Source Package CAGEr_2.10.0.tar.gz
Windows Binary CAGEr_2.10.0.zip
macOS Binary (x86_64) CAGEr_2.10.0.tgz
macOS Binary (arm64) CAGEr_2.10.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/CAGEr
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/CAGEr
Bioc Package Browser https://code.bioconductor.org/browse/CAGEr/
Package Short Url https://bioconductor.org/packages/CAGEr/
Package Downloads Report Download Stats