DeepSTARR predicts enhancer activity from DNA sequence and enables the de novo design of synthetic e...
DeepSTARR predicts enhancer activity from DNA sequence and enables the de novo design of synthetic enhancers
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New York: Nature Publishing Group US
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English
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New York: Nature Publishing Group US
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Enhancer sequences control gene expression and comprise binding sites (motifs) for different transcription factors (TFs). Despite extensive genetic and computational studies, the relationship between DNA sequence and regulatory activity is poorly understood, and de novo enhancer design has been challenging. Here, we built a deep-learning model, Dee...
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DeepSTARR predicts enhancer activity from DNA sequence and enables the de novo design of synthetic enhancers
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TN_cdi_proquest_miscellaneous_2664783990
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_2664783990
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ISSN
1061-4036
E-ISSN
1546-1718
DOI
10.1038/s41588-022-01048-5
