SIMD
Statistical Inferences with MeDIP-seq Data (SIMD) to infer the methylation level for each CpG site
Bioconductor version: 3.23 · Package version: 1.30.0
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
| Maintainer | Jiadi Zhu <2160090406@email.szu.edu.cn> |
| Author | Yan Zhou |
| License | GPL-3 |
| Downloads rank | 358 |
| Source branch | RELEASE_3_23 |
| biocViews | DifferentialExpression, DifferentialMethylation, ImmunoOncology, SingleCell, Software |
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | SIMD_1.30.0.tar.gz |
| Windows binary (x86_64) | SIMD_1.30.0.zip |
| macOS binary (arm64) | SIMD_1.30.0.tgz |
| macOS binary (x86_64) | SIMD_1.30.0.tgz |