A collection of resources to filter 'bad' probes from the Illumina 450k and EPIC methylation arrays

Bayesian modelling of DNA methylation heterogeneity at single-cell resolution

MultiNano is a deep learning framework designed for predicting m6A RNA modifications using raw electrical signals from Oxford Nanopore sequencing. It provides high accuracy across species and conditions, offering a user-friendly pipeline for researchers. MultiNano supports both training from scratch and direct prediction modes.

Python toolkit for parsing, processing, and analysis of Illumina methylation array IDAT files

Comprehensive tool for visualizing genome-wide cytosine data.

This package provides Illumina Mouse Methylation Array Annotation (12.v1, Genome Build mm10) compatible with minfi.

A methylation array analysis pipeline tailored for discovering rare methylation events with interactive data visualization

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.

This package provides Illumina Mouse Methylation Array Manifest (12.v1, Genome Build mm10) compatible with minfi.

adaptable and intrepretable,multi-task learning based gene-level methylation estimations

The transferase system for retrieving methylome data from methbase

Impact of lossy compression of nanopore raw signal data on basecall and consensus accuracy

DNA methylation analysis pipeline for reduced representation bissulfite sequencing data

Re-implementation of J. Beaulaurier et al's SMSN strategy, using the default PacBio tools

Fast and efficient conversion of Nanopore modBAM from guppy basecaller to BED files for differential methylation and machine learning predictions

Differentially methylated regions analysis

The following repository contains code to analyse MeD-seq data and detect statistically significant genomic bins.

Identification for Key Pathways and Genes in Polycystic Ovary Syndrome (PCOS) using a multi-omics approach, as part of the Applied High Throughput Analysis course at Ghent University

This is a repository to show my experience analyzing different kinds of epigenomics data.

A repository containing code, data, and resource links for the publication "Characterization of universal features of partially methylated domains across tissues and species"