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.
DeepSEA is a deep learning framework that predicts genomic variant effects on a wide range of regulatory features with single nucleotide sensitivity: transcription factors binding, DNase I hypersensitive sites, and histone marks in multiple human cell types.
Read the DeepSEA documentation