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cnnLSV: detecting structural variants by encoding long-read alignment information and convolutional neural network
BACKGROUND: Genomic structural variant detection is a significant and challenging issue in genome analysis. The existing long-read based structural variant detection methods still have space for improvement in detecting multi-type structural variants. RESULTS: In this paper, we propose a method call...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10045035/ https://www.ncbi.nlm.nih.gov/pubmed/36977976 http://dx.doi.org/10.1186/s12859-023-05243-x |