regulatory-genomics
CREsted is a Python package for training sequence-based deep learning models on scATAC-seq data, for capturing enhancer code and for designing cell type-specific sequences.
Pipeline: Identification of cis-regulatory elements by matrix scoring and conservation.
Tool for identifying conserved TFBSs in vertebrate species.
Library for generation of synthetic regulatory elements using diffusion models
