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...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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BioMed Central Ltd
2021
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| Online Access: | View Fulltext in Publisher |