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SVcnn: an accurate deep learning-based method for detecting structural variation based on long-read data
BACKGROUND: Structural variations (SVs) refer to variations in an organism’s chromosome structure that exceed a length of 50 base pairs. They play a significant role in genetic diseases and evolutionary mechanisms. While long-read sequencing technology has led to the development of numerous SV calle...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2023
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10207598/ https://www.ncbi.nlm.nih.gov/pubmed/37221476 http://dx.doi.org/10.1186/s12859-023-05324-x |