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 E-Mail IMAGE: Researchers used DNA sequences from high-resolution experiments to train a neural network called BPNet, whose black box innerworkings were then uncovered to reveal sequence patterns and organizing principles of the. view more  Credit: Illustration courtesy of Mark Miller, Stowers Institute for Medical Research. KANSAS CITY, MO Researchers at the Stowers Institute for Medical Research, in collaboration with colleagues at Stanford University and Technical University of Munich have developed advanced explainable artificial intelligence (AI) in a technical tour de force to decipher regulatory instructions encoded in DNA. In a report published online February 18, 2021, in Nature Genetics, the team found that a neural network trained on high-resolution maps of protein-DNA interactions can uncover subtle DNA sequence patterns throughout the genome and provide a deeper understanding of how these sequences are organized to regulate genes.

University of kansas medical centerUnited statesCharles mcananyJim stowersAvanti shrikumarRobin fropfJulia zeitlingerAnshul kundajeJulien gagneurMelanie weilertSabrina kruegerAmr alexandariKhyati dalalHuman developmentKundaje labUniversity of kansas medical center genomics core