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:	Simone Zaccaria, Benjamin J. Raphael
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/d18065c0ce5f4afc9e3938b4dc81d7bd
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spelling	oai:doaj.org-article:d18065c0ce5f4afc9e3938b4dc81d7bd2021-12-02T16:38:27ZAccurate quantification of copy-number aberrations and whole-genome duplications in multi-sample tumor sequencing data10.1038/s41467-020-17967-y2041-1723https://doaj.org/article/d18065c0ce5f4afc9e3938b4dc81d7bd2020-09-01T00:00:00Zhttps://doi.org/10.1038/s41467-020-17967-yhttps://doaj.org/toc/2041-1723The 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.Simone ZaccariaBenjamin J. RaphaelNature PortfolioarticleScienceQENNature Communications, Vol 11, Iss 1, Pp 1-13 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Simone Zaccaria Benjamin J. Raphael Accurate quantification of copy-number aberrations and whole-genome duplications in multi-sample tumor sequencing data
description	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.
format	article
author	Simone Zaccaria Benjamin J. Raphael
author_facet	Simone Zaccaria Benjamin J. Raphael
author_sort	Simone Zaccaria
title	Accurate quantification of copy-number aberrations and whole-genome duplications in multi-sample tumor sequencing data
title_short	Accurate quantification of copy-number aberrations and whole-genome duplications in multi-sample tumor sequencing data
title_full	Accurate quantification of copy-number aberrations and whole-genome duplications in multi-sample tumor sequencing data
title_fullStr	Accurate quantification of copy-number aberrations and whole-genome duplications in multi-sample tumor sequencing data
title_full_unstemmed	Accurate quantification of copy-number aberrations and whole-genome duplications in multi-sample tumor sequencing data
title_sort	accurate quantification of copy-number aberrations and whole-genome duplications in multi-sample tumor sequencing data
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/d18065c0ce5f4afc9e3938b4dc81d7bd
work_keys_str_mv	AT simonezaccaria accuratequantificationofcopynumberaberrationsandwholegenomeduplicationsinmultisampletumorsequencingdata AT benjaminjraphael accuratequantificationofcopynumberaberrationsandwholegenomeduplicationsinmultisampletumorsequencingdata
_version_	1718383601593090048

Accurate quantification of copy-number aberrations and whole-genome duplications in multi-sample tumor sequencing data

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