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shinyepico

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

ShinyÉPICo


Bioconductor version: Development (3.19)

ShinyÉPICo is a graphical pipeline to analyze Illumina DNA methylation arrays (450k or EPIC). It allows to calculate differentially methylated positions and differentially methylated regions in a user-friendly interface. Moreover, it includes several options to export the results and obtain files to perform downstream analysis.

Author: Octavio Morante-Palacios [cre, aut]

Maintainer: Octavio Morante-Palacios <octaviompa at gmail.com>

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

Installation

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


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

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

BiocManager::install("shinyepico")

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

Documentation

Reference Manual PDF

Details

biocViews DNAMethylation, DifferentialMethylation, Microarray, Preprocessing, QualityControl, Software
Version 1.11.0
In Bioconductor since BioC 3.13 (R-4.1) (3 years)
License AGPL-3 + file LICENSE
Depends R (>= 4.3.0)
Imports DT (>= 0.15.0), data.table (>= 1.13.0), doParallel (>= 1.0.0), dplyr (>= 1.0.9), foreach (>= 1.5.0), GenomicRanges(>= 1.38.0), ggplot2 (>= 3.3.0), gplots (>= 3.0.0), heatmaply (>= 1.1.0), limma(>= 3.42.0), minfi(>= 1.32.0), plotly (>= 4.9.2), reshape2 (>= 1.4.0), rlang (>= 1.0.2), rmarkdown (>= 2.3.0), rtracklayer(>= 1.46.0), shiny (>= 1.5.0), shinyWidgets (>= 0.5.0), shinycssloaders (>= 0.3.0), shinyjs (>= 1.1.0), shinythemes (>= 1.1.0), statmod (>= 1.4.0), tidyr (>= 1.2.0), zip (>= 2.1.0)
System Requirements
URL https://github.com/omorante/shiny_epico
Bug Reports https://github.com/omorante/shiny_epico/issues
See More
Suggests knitr (>= 1.30.0), mCSEA(>= 1.10.0), IlluminaHumanMethylation450kanno.ilmn12.hg19, IlluminaHumanMethylation450kmanifest, IlluminaHumanMethylationEPICanno.ilm10b4.hg19, IlluminaHumanMethylationEPICmanifest, testthat, minfiData, BiocStyle
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Package Archives

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

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