Ontology highlight
ABSTRACT:
SUBMITTER: Li H
PROVIDER: S-EPMC6821349 | biostudies-literature | 2019 Nov
REPOSITORIES: biostudies-literature
Bioinformatics (Oxford, England) 20191101 21
<h4>Summary</h4>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 re ...[more]