Open access
Jul 2026
Interpretable prediction of DNA replication origins in S. cerevisiae using DNABERT and DNABERT-2
This study fine-tune two genome-based pretrained language models, DNABERT and DNABERT-2, to predict replication origins in budding yeast and unravel the DNA base composition behind them, and demonstrates that both models identify replication origin sequences, albeit through different learning strategies.
Zohreh Piroozeh, I. Akerman, Olga V. Kalinina et al.
· BMC Bioinformatics · 0 citations