Accurate quantification of copy-number aberrations and whole-genome duplications in multi-sample tumor sequencing data
The correct identification of copy-number aberrations (CNAs) in tumours can provide information for diagnosis, prognosis and therapeutic strategies. Here, the authors provide an algorithm, HATCHet, which quantifies CNAs using multiple samples from the same patient, providing more accurate informatio...
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| Autores principales: | , |
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| Formato: | article |
| Lenguaje: | EN |
| Publicado: |
Nature Portfolio
2020
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| Materias: | |
| Acceso en línea: | https://doaj.org/article/d18065c0ce5f4afc9e3938b4dc81d7bd |
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| Sumario: | The correct identification of copy-number aberrations (CNAs) in tumours can provide information for diagnosis, prognosis and therapeutic strategies. Here, the authors provide an algorithm, HATCHet, which quantifies CNAs using multiple samples from the same patient, providing more accurate information than studying one sample alone. |
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