798-CREsted: Designing Cell-Type-Specific Enhancers

Paper Talk · Apr 15, 2026 · 22m

The paper introduces CREsted, a new Python-based software package designed to model and design cell-type-specific enhancers using deep learning. By processing data from single-cell chromatin accessibility assays, the tool deciphers the complex "enhancer code" that dictates how specific genetic sequences drive cellular identity. The researchers demonstrate its versatility by accurately predicting regulatory activity across diverse species, including humans, mice, and zebrafish, and across various tissues and cancer states. CREsted stands out by offering a comprehensive pipeline that moves from…