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EagleC: A deep-learning framework for detecting a full range of structural variations from bulk and single-cell contact maps
The Hi-C technique has been shown to be a promising method to detect structural variations (SVs) in human genomes. However, algorithms that can use Hi-C data for a full-range SV detection have been severely lacking. Current methods can only identify interchromosomal translocations and long-range int...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
American Association for the Advancement of Science
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9200291/ https://www.ncbi.nlm.nih.gov/pubmed/35704579 http://dx.doi.org/10.1126/sciadv.abn9215 |