BlockFormer: Transformer-based inference from genomic contact maps
BlockFormer is a transformer architecture designed to infer per-entity parameters from genomic interaction maps like Hi-C data, specifically for centromere localization. It handles variable block structures by using a novel 3D positional encoding and a custom simulator. The method achieves fast, accurate inference across different species and genome sizes, outperforming traditional methods.