CAGEr

DOI: 10.18129/B9.bioc.CAGEr    

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

Bioconductor version: Release (3.15)

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 "4.2") 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")

 

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

Details

biocViews Clustering, FunctionalGenomics, GeneExpression, Normalization, Preprocessing, Sequencing, Software, Transcription, Visualization
Version 2.2.0
In Bioconductor since BioC 2.12 (R-3.0) (9.5 years)
License GPL-3
Depends methods, MultiAssayExperiment, R (>= 4.1.0)
Imports BiocGenerics, BiocParallel, BSgenome, 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
LinkingTo
Suggests BSgenome.Drerio.UCSC.danRer7, DESeq2, FANTOM3and4CAGE, BiocStyle, knitr, rmarkdown
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me seqPattern
Links To Me
Build Report  

Package Archives

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

Source Package CAGEr_2.2.0.tar.gz
Windows Binary CAGEr_2.2.0.zip
macOS Binary (x86_64) CAGEr_2.2.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/CAGEr
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/CAGEr
Package Short Url https://bioconductor.org/packages/CAGEr/
Package Downloads Report Download Stats

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