Identifying centromeric satellites with dna-brnn
Open accessAbstract
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
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dna-brnn uses a recurrent neural network to identify alpha satellites as well as human satellites 1 and 2.
“dna-brnn is a tool that uses a recurrent neural network to quickly identify alpha satellites as well as human satellites 1 and 2 (ref. 90).”
From A draft human pangenome reference. (2023) · cites this paper as [90]
The Introduction and §2.1 say dna-brnn uses a recurrent neural network to identify alpha satellite (alphoid) and human satellite II/III (hsat2,3). The claim is correct about the method and alpha satellite, but names satellites 1 and 2 rather than the paper’s satellites 2 and 3. (LLM, conf=0.90)
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- Authors
- Li, H.
- Affiliations
- Harvard University (US)
- Corresponding author
- Li, Heng
- ORCID
- Li, Heng
- Venue
- Bioinformatics
- Publisher
- Oxford University Press (OUP)
- Published
- 2019-04-15
- Volume
- 35
- Issue
- 21
- Pages
- 4408-4410
- ISSN
- 1367-4803 (ISSN-L)
- 1367-4811
- PMC
- PMC6821349
- OpenAlex
- W2962988145
- Cited by
- 28
- References
- 10
- Citations by year
- 2026: 3 · 2025: 3 · 2024: 2 · 2023: 9 · 2022: 2 · 2021: 4 · 2020: 4 · 2019: 1
- FWCI
- 2.03
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model (vor)
- Locations
- Bioinformatics (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- arXiv (Cornell University) (submittedVersion)
- arXiv (Cornell University)
- Funders
- NHGRI (R01-HG010040)
- Topics
- Life Sciences › Agricultural and Biological Sciences › Plant Science › Chromosomal and Genetic Variations
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Fractal and DNA sequence analysis
- Keywords
- alpha satellite, centromeric repeats, DNA sequence classification, recurrent neural networks, DNA sequence prediction, human genome
- MeSH terms
- Algorithms, Centromere, DNA, Satellite, Humans, Genome, Human, Neural Networks, Computer
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