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New work from a Stanford University-led team of researchers including Carnegie s Arthur Grossman and Tingting Xiang unravels a longstanding mystery about the relationship between form and function in the genetic material of a diverse group of algae called dinoflagellates. Their findings, published in Nature Genetics, have implications for understanding genomic organizational principles of all organisms.
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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.
With the help of artificial intelligence (AI) a German-American team of scientists deciphered some of the more elusive instructions encoded in DNA. Their.