A collection of resources to filter 'bad' probes from the Illumina 450k and EPIC methylation arrays
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Updated
Dec 5, 2023
A collection of resources to filter 'bad' probes from the Illumina 450k and EPIC methylation arrays
Gaussian mixture modelling - Unsupervised learning
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.
Methylation Array Cross-Reactive Probes
Epicopy R package for CNV identification from methylation microarrays.
📦 Bioconductor data package associated with the methyvim R package
This package provides Illumina Mouse Methylation Array Manifest (12.v1, Genome Build mm10) compatible with minfi.
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.
Python toolkit for parsing, processing, and analysis of Illumina methylation array IDAT files
📦 🔬 R/methyvim: Targeted, Robust, and Model-free Differential Methylation Analysis
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