AI predicts the effectiveness and evolution of gene promoter sequences

Andreas Wagner ()

Nature, 2022, vol. 603, issue 7901, 399-400

Abstract: A long-standing goal of biology is the ability to predict gene expression from DNA sequence. A type of artificial intelligence known as a neural network, combined with high-throughput experiments, now brings this goal a step closer.

Keywords: Molecular biology; Computational biology and bioinformatics; Genetics; Evolution (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1038/d41586-022-00384-0

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