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exomePeak2

This package is deprecated. It will probably be removed from Bioconductor. Please refer to the package end-of-life guidelines for more information.

Peak Calling and differential analysis for MeRIP-Seq


Bioconductor version: Release (3.19)

exomePeak2 provides peak detection and differential methylation for Methylated RNA Immunoprecipitation Sequencing (MeRIP-Seq) data. MeRIP-Seq is a commonly applied sequencing assay that measures the location and abundance of RNA modification sites under specific cellular conditions. In practice, the technique is sensitive to PCR amplification biases commonly found in NGS data. In addition, the efficiency of immunoprecipitation often varies between different IP samples. exomePeak2 can perform peak calling and differential analysis independent of GC content bias and IP efficiency changes.

Author: Zhen Wei [aut, cre]

Maintainer: Zhen Wei <zhen.wei10 at icloud.com>

Citation (from within R, enter citation("exomePeak2")):

Installation

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


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

BiocManager::install("exomePeak2")

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

Documentation

Reference Manual PDF

Details

biocViews Coverage, DifferentialMethylation, DifferentialPeakCalling, MethylSeq, PeakDetection, RNASeq, Sequencing, Software
Version 1.16.0
In Bioconductor since BioC 3.11 (R-4.0) (4 years)
License Artistic-2.0
Depends R (>= 3.5.0), SummarizedExperiment
Imports Rsamtools, GenomicAlignments, GenomicRanges, GenomicFeatures, DESeq2, ggplot2, mclust, BSgenome, Biostrings, GenomeInfoDb, BiocParallel, IRanges, S4Vectors, rtracklayer, methods, stats, utils, BiocGenerics, magrittr, speedglm, splines
System Requirements
URL
Bug Reports https://github.com/ZW-xjtlu/exomePeak2/issues
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Suggests knitr, rmarkdown
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Package Archives

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

Source Package
Windows Binary exomePeak2_1.16.0.zip
macOS Binary (x86_64) exomePeak2_1.16.0.tgz
macOS Binary (arm64) exomePeak2_1.16.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/exomePeak2
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/exomePeak2
Package Short Url https://bioconductor.org/packages/exomePeak2/
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