TRESS

Toolbox for mRNA epigenetics sequencing analysis


Bioconductor version: Release (3.20)

This package is devoted to analyzing MeRIP-seq data. Current functionalities include 1. detect transcriptome wide m6A methylation regions 2. detect transcriptome wide differential m6A methylation regions.

Author: Zhenxing Guo [aut, cre], Hao Wu [ctb]

Maintainer: Zhenxing Guo <guozhenxing at cuhk.edu.cn>

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

Installation

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


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

BiocManager::install("TRESS")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

Reference Manual PDF
NEWS Text
LICENSE Text

Details

biocViews DifferentialMethylation, Epigenetics, PeakDetection, RNASeq, Software
Version 1.12.0
In Bioconductor since BioC 3.14 (R-4.1) (3 years)
License GPL-3 + file LICENSE
Depends R (>= 4.1.0), parallel, S4Vectors
Imports utils, rtracklayer, Matrix, matrixStats, stats, methods, graphics, GenomicRanges, GenomicFeatures, IRanges, Rsamtools, AnnotationDbi
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Package Archives

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

Source Package TRESS_1.12.0.tar.gz
Windows Binary (x86_64) TRESS_1.12.0.zip
macOS Binary (x86_64) TRESS_1.12.0.tgz
macOS Binary (arm64) TRESS_1.11.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/TRESS
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/TRESS
Bioc Package Browser https://code.bioconductor.org/browse/TRESS/
Package Short Url https://bioconductor.org/packages/TRESS/
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