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- W2913462813 abstract "Summary: Human alpha satellite and satellite 2/3 contribute to several percent of the human genome. However, identifying these sequences with traditional algorithms is computationally intensive. Here we develop dna-brnn, a recurrent neural network to learn the sequences of the two classes of centromeric repeats. It achieves high similarity to RepeatMasker and is times faster. Dna-brnn explores a novel application of deep learning and may accelerate the study of the evolution of the two repeat classes. Availability and implementation: https://github.com/lh3/dna-nn Contact: hli@jimmy.harvard.edu" @default.
- W2913462813 created "2019-02-21" @default.
- W2913462813 creator A5013795174 @default.
- W2913462813 date "2019-01-22" @default.
- W2913462813 modified "2023-09-23" @default.
- W2913462813 title "Identifying centromeric satellites with dna-brnn" @default.
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- W2913462813 doi "https://doi.org/10.48550/arxiv.1901.07327" @default.
- W2913462813 hasPublicationYear "2019" @default.
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