Software

Read-level DNA methylation classification and cell-type deconvolution with deep learning, built on data-driven soft labels.

Reference-free discovery and quantification of latent components in heterogeneous methylomes.

Read-level DNA methylation pattern identification and tumour deconvolution with a Transformer model.

Comprehensive analysis of DNA methylation data, from array and sequencing data to reports.

R/Bioconductor package for systematic aggregation and analysis of bisulfite sequencing data.

Locus-specific analysis of DNA methylation and its oxidised forms from high-throughput bisulfite sequencing.

Interactive web server for designing high-throughput targeted DNA methylation assays.

Continuable benchmark of DNA methylation sequencing workflows against an experimental gold standard, with interactive results.

Deep learning framework for single-cell multiomics integration in the presence of batch effects and missing data.

A metric to quantify epigenomic heterogeneity in single-cell data.

Multi-region genomic figures with long-read support.

A web interface for configuring, running and monitoring Common Workflow Language (CWL) workflows.