A collection of resources to filter 'bad' probes from the Illumina 450k and EPIC methylation arrays
-
Updated
Dec 5, 2023
A collection of resources to filter 'bad' probes from the Illumina 450k and EPIC methylation arrays
This package provides Illumina Mouse Methylation Array Manifest (12.v1, Genome Build mm10) compatible with minfi.
Gaussian mixture modelling - Unsupervised learning
Methylation Array Cross-Reactive Probes
Regional Association of Methylation variability with the Exposome and geNome (RAMEN) is an R package whose goal is to identify Variable Methylated Regions (VMRs) in microarray DNA methylation data. Additionally, using Genotype (G) and Environmental (E) data, it can identify which G, E, G+E or GxE model better explains this variability.
📦 🔬 R/methyvim: Targeted, Robust, and Model-free Differential Methylation Analysis
Python toolkit for parsing, processing, and analysis of Illumina methylation array IDAT files
Epicopy R package for CNV identification from methylation microarrays.
📦 Bioconductor data package associated with the methyvim R package
Detection of rare aberrantly methylated regions in array and NGS data — an R/Bioc package
generates reference matrix of average beta methylation values
An annotation for mapping cpgs on the EPIC DNA methylation microarray platform to genomic features.
Add a description, image, and links to the methylation-microarrays topic page so that developers can more easily learn about it.
To associate your repository with the methylation-microarrays topic, visit your repo's landing page and select "manage topics."