Bioc2026 Registration Open!

SIMD

Statistical Inferences with MeDIP-seq Data (SIMD) to infer the methylation level for each CpG site

Bioconductor version: 3.24 · Package version: 1.31.0

This package provides a inferential analysis method for detecting differentially expressed CpG sites in MeDIP-seq data. It uses statistical framework and EM algorithm, to identify differentially expressed CpG sites. The methods on this package are described in the article 'Methylation-level Inferences and Detection of Differential Methylation with Medip-seq Data' by Yan Zhou, Jiadi Zhu, Mingtao Zhao, Baoxue Zhang, Chunfu Jiang and Xiyan Yang (2018, pending publication).

Installation

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

BiocManager::install("SIMD")

Details

MaintainerJiadi Zhu <2160090406@email.szu.edu.cn>
AuthorYan Zhou
LicenseGPL-3
Downloads rank358
Source branchdevel
biocViewsDifferentialExpression, DifferentialMethylation, ImmunoOncology, SingleCell, Software

Documentation

Download

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

Source packageSIMD_1.31.0.tar.gz
Windows binary (x86_64)SIMD_1.31.0.zip
macOS binary (arm64)SIMD_1.31.0.tgz
macOS binary (x86_64)SIMD_1.31.0.tgz
Dependencies

Depends: R (>= 3.5.0)

Imports: edgeR, statmod, methylMnM, stats, utils

Suggests: BiocStyle, knitr, rmarkdown