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DeepGRP: engineering a software tool for predicting genomic repetitive elements using Recurrent Neural Networks with attention
BACKGROUND: Repetitive elements contribute a large part of eukaryotic genomes. For example, about 40 to 50% of human, mouse and rat genomes are repetitive. So identifying and classifying repeats is an important step in genome annotation. This annotation step is traditionally performed using alignmen...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2021
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8381506/ https://www.ncbi.nlm.nih.gov/pubmed/34425870 http://dx.doi.org/10.1186/s13015-021-00199-0 |