m6Aboost

Bioconductor version: 3.24 · Package version: 1.19.0

This package can help user to run the m6Aboost model on their own miCLIP2 data. The package includes functions to assign the read counts and get the features to run the m6Aboost model. The miCLIP2 data should be stored in a GRanges object. More details can be found in the vignette.

Installation

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

BiocManager::install("m6Aboost")

Details

Maintainer	You Zhou <youzhoulearning@gmail.com>
Author	You Zhou [aut, cre] (ORCID: <https://orcid.org/0000-0003-1755-9073>), Kathi Zarnack [aut] (ORCID: <https://orcid.org/0000-0003-3527-3378>)
License	Artistic-2.0
URL	https://github.com/ZarnackGroup/m6Aboost
Bug Reports	https://github.com/ZarnackGroup/m6Aboost/issues
Downloads rank	404
Source branch	devel
biocViews	Epigenetics, ExperimentHubSoftware, Genetics, Sequencing, Software

Documentation

Predicting m6A sites from miCLIP2 data with m6Aboost

Download

Follow the installation instructions to use this package in your R session.

Source package	m6Aboost_1.19.0.tar.gz
Windows binary (x86_64)	m6Aboost_1.19.0.zip
macOS binary (arm64)	m6Aboost_1.19.0.tgz
macOS binary (x86_64)	m6Aboost_1.19.0.tgz

Dependencies

Depends: S4Vectors, adabag, GenomicRanges, R (>= 4.1)

Imports: dplyr, rtracklayer, BSgenome, Biostrings, utils, methods, IRanges, ExperimentHub

Suggests: knitr, rmarkdown, bookdown, testthat, BiocStyle, BSgenome.Mmusculus.UCSC.mm10