Unduliner is a Python command-line tool for predicting whether genomic variants are associated with 
local DNA methylation changes using nanopore long-read sequencing data.

It integrates MM/ML-tagged BAM files, VCFs, and a pre-trained deep learning model to evaluate methylation 
differences around SNVs and structural variants.

Usage details and test data are available on the [Github page](https://github.com/Chisomgold/unduliner/tree/main)
