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Evaluating the performance of low-frequency variant calling tools for the detection of variants from short-read deep sequencing data
Detection of low-frequency variants with high accuracy plays an important role in biomedical research and clinical practice. However, it is challenging to do so with next-generation sequencing (NGS) approaches due to the high error rates of NGS. To accurately distinguish low-level true variants from...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10665316/ https://www.ncbi.nlm.nih.gov/pubmed/37993475 http://dx.doi.org/10.1038/s41598-023-47135-3 |