Sei provides a global map from any sequence to regulatory activities, as represented by 40 sequence classes by integrating predictions for 21,907 chromatin profiles. You can also find the Sei code repository here or read about our manuscript here. See for more details.
Sei is a deep-learning-based framework for systematically predicting sequence regulatory activities and applying sequence information to understand human genetics data.
Read the Sei documentation