sesameData

This is the development version of sesameData; for the stable release version, see sesameData.

Supporting Data for SeSAMe Package


Bioconductor version: Development (3.21)

Provides supporting annotation and test data for SeSAMe package. This includes chip tango addresses, mapping information, performance annotation, and trained predictor for Infinium array data. This package provides user access to essential annotation data for working with many generations of the Infinium DNA methylation array. Current we support human array (HM27, HM450, EPIC), mouse array (MM285) and the HorvathMethylChip40 (Mammal40) array.

Author: Wanding Zhou [aut, cre] (ORCID: ), Hui Shen [aut], Timothy Triche [ctb]

Maintainer: Wanding Zhou <zhouwanding at gmail.com>

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

Installation

To install this package, start R (version "4.5") and enter:


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

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("sesameData")

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("sesameData")
sesameData User Guide HTML R Script
Reference Manual PDF
NEWS Text

Details

biocViews ExperimentData, ExperimentHub, Genome, MethylationArrayData, MicroarrayData
Version 1.23.0
License Artistic-2.0
Depends R (>= 4.2.0), ExperimentHub, AnnotationHub
Imports utils, readr, stringr, GenomicRanges, S4Vectors, IRanges, GenomeInfoDb
System Requirements
URL https://github.com/zwdzwd/sesame
Bug Reports https://github.com/zwdzwd/sesame/issue
See More
Suggests BiocGenerics, sesame, testthat, knitr, rmarkdown
Linking To
Enhances
Depends On Me sesame
Imports Me knowYourCG, CytoMethIC
Suggests Me ELMER, iNETgrate
Links To Me
Build Report Build Report

Package Archives

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

Source Package sesameData_1.23.0.tar.gz
Windows Binary (x86_64)
macOS Binary (x86_64)
macOS Binary (arm64)
Source Repository git clone https://git.bioconductor.org/packages/sesameData
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/sesameData
Package Short Url https://bioconductor.org/packages/sesameData/
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