Multiomics and deep learning dissect regulatory syntax in human development

A new study published in Nature introduces the Human Development Multiomic Atlas, which integrates single-cell data from 12 fetal organs to uncover regulatory rules governing transcription factor binding and chromatin accessibility during human development. The research combines multiomics and deep learning to map cell-type-specific genetic mechanisms.