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sesame

SEnsible Step-wise Analysis of DNA MEthylation BeadChips

Bioconductor version: 3.23 · Package version: 1.30.1

Other Bioconductor versions

devel is the development version; release is the current stable one.

3.24 (devel), 3.23 (release)

Tools For analyzing Illumina Infinium DNA methylation arrays. SeSAMe provides utilities to support analyses of multiple generations of Infinium DNA methylation BeadChips, including preprocessing, quality control, visualization and inference. SeSAMe features accurate detection calling, intelligent inference of ethnicity, sex and advanced quality control routines.

DOI: 10.18129/B9.bioc.sesame

Installation

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

BiocManager::install("sesame")

Details

MaintainerWanding Zhou <zhouwanding@gmail.com>
AuthorWanding Zhou [aut, cre, fnd] (ORCID: <https://orcid.org/0000-0001-9126-1932>), Wubin Ding [ctb], David Goldberg [ctb], Ethan Moyer [ctb], Bret Barnes [ctb], Timothy Triche [ctb], Hui Shen [aut, fnd]
LicenseMIT + file LICENSE
URLhttps://github.com/zwdzwd/sesame
Bug Reportshttps://github.com/zwdzwd/sesame/issues
Source branchRELEASE_3_23
Build report Bioconductor build system, r-universe
biocViewsDNAMethylation, MethylationArray, Preprocessing, QualityControl, Software
Package Short Url https://bioconductor.org/packages/sesame/

Citation

From within R, enter citation("sesame"):

Wanding Zhou, Hui Shen. sesame: SEnsible Step-wise Analysis of DNA MEthylation BeadChips. doi:10.18129/B9.bioc.sesame, R package version 1.30.1, https://bioconductor.org/packages/sesame.

Generated from the package metadata; it may differ from the package's own citation.

Documentation

Download

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

Source packagesesame_1.30.1.tar.gz
Windows binary (x86_64)sesame_1.30.1.zip
macOS binary (arm64)sesame_1.30.1.tgz
macOS binary (x86_64)sesame_1.30.1.tgz
Dependencies

Depends: R (>= 4.5.0), sesameData

Imports: graphics, BiocParallel, utils, methods, stringr, readr, tibble, MASS, wheatmap (>= 0.2.0), GenomicRanges (>= 1.61.1), IRanges, grid, preprocessCore, S4Vectors, ggplot2, BiocFileCache, Seqinfo, stats, SummarizedExperiment (>= 1.39.1), dplyr, reshape2

Suggests: scales, BiocManager, GenomeInfoDb, knitr, DNAcopy, e1071, randomForest, RPMM, rmarkdown, testthat, tidyr, BiocStyle, ggrepel, grDevices, KernSmooth, pals

Reverse dependencies

Imports Me (3): CytoMethIC, MethReg, TENET

Suggests Me (4): knowYourCG, RnBeads, sesameData, TCGAbiolinks