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
Python toolkit for parsing, processing, and analysis of Illumina methylation array IDAT files
This package provides Illumina Mouse Methylation Array Manifest (12.v1, Genome Build mm10) compatible with minfi.
Regional Association of DNA Methylome variability with the Exposome and geNome (RAMEN) is an R package which goal is to identify Variable Methylated Loci (VML) in microarray DNA methylation data. Then, using genome (G) and exposome (E) data, it can identify which individual (G or E) or joint (G+E or GxE) model better explains the VML variability.
Gaussian mixture modelling - Unsupervised learning
Methylation Array Cross-Reactive Probes
📦 🔬 R/methyvim: Targeted, Robust, and Model-free Differential Methylation Analysis
Epicopy R package for CNV identification from methylation microarrays.
An annotation for mapping cpgs on the EPIC DNA methylation microarray platform to genomic features.
📦 Bioconductor data package associated with the methyvim R package
generates reference matrix of average beta methylation values
Detection of rare aberrantly methylated regions / epimutations in array and NGS data — an R/Bioc package
MONTE:Methylation-based Observation Normalizationand Tumor purity Estimation
MONTE:Methylation-based Observation Normalizationand Tumor purity Estimation
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."