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Identifying centromeric satellites with dna-brnn

2019-01-22 · Heng Li

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 tens of 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

📄 PDF Abstract BibTeX arXiv:1901.07327

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lh3/dna-nn 공식 구현

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