DNABERT2-CAMP: A Hybrid Transformer-CNN Model for E. coli Promoter Recognition

DNABERT2-CAMP demonstrates that synergistically combining pre-trained Transformers with convolutional motif detection significantly improves promoter recognition accuracy and interpretability. This framework offers a powerful, generalizable tool for genomic annotation and synthetic biology applications.