Quantifying the influence of mutation detection on tumour subclonal reconstruction

The impact of variant calling algorithms on the analysis of intra-tumour heterogeneity has not been properly quantified. Here the authors measure the variability of 22 pipelines with different variant callers and clustering algorithms for subclonal reconstruction to inform future analyses.

Guardado en:

Detalles Bibliográficos
Autores principales:	Lydia Y. Liu, Vinayak Bhandari, Adriana Salcedo, Shadrielle M. G. Espiritu, Quaid D. Morris, Thomas Kislinger, Paul C. Boutros
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/aa348a33ae6a40059a2acc59be8bbea2
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:aa348a33ae6a40059a2acc59be8bbea2
record_format	dspace
spelling	oai:doaj.org-article:aa348a33ae6a40059a2acc59be8bbea22021-12-02T13:24:24ZQuantifying the influence of mutation detection on tumour subclonal reconstruction10.1038/s41467-020-20055-w2041-1723https://doaj.org/article/aa348a33ae6a40059a2acc59be8bbea22020-12-01T00:00:00Zhttps://doi.org/10.1038/s41467-020-20055-whttps://doaj.org/toc/2041-1723The impact of variant calling algorithms on the analysis of intra-tumour heterogeneity has not been properly quantified. Here the authors measure the variability of 22 pipelines with different variant callers and clustering algorithms for subclonal reconstruction to inform future analyses.Lydia Y. LiuVinayak BhandariAdriana SalcedoShadrielle M. G. EspirituQuaid D. MorrisThomas KislingerPaul C. BoutrosNature PortfolioarticleScienceQENNature Communications, Vol 11, Iss 1, Pp 1-15 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Lydia Y. Liu Vinayak Bhandari Adriana Salcedo Shadrielle M. G. Espiritu Quaid D. Morris Thomas Kislinger Paul C. Boutros Quantifying the influence of mutation detection on tumour subclonal reconstruction
description	The impact of variant calling algorithms on the analysis of intra-tumour heterogeneity has not been properly quantified. Here the authors measure the variability of 22 pipelines with different variant callers and clustering algorithms for subclonal reconstruction to inform future analyses.
format	article
author	Lydia Y. Liu Vinayak Bhandari Adriana Salcedo Shadrielle M. G. Espiritu Quaid D. Morris Thomas Kislinger Paul C. Boutros
author_facet	Lydia Y. Liu Vinayak Bhandari Adriana Salcedo Shadrielle M. G. Espiritu Quaid D. Morris Thomas Kislinger Paul C. Boutros
author_sort	Lydia Y. Liu
title	Quantifying the influence of mutation detection on tumour subclonal reconstruction
title_short	Quantifying the influence of mutation detection on tumour subclonal reconstruction
title_full	Quantifying the influence of mutation detection on tumour subclonal reconstruction
title_fullStr	Quantifying the influence of mutation detection on tumour subclonal reconstruction
title_full_unstemmed	Quantifying the influence of mutation detection on tumour subclonal reconstruction
title_sort	quantifying the influence of mutation detection on tumour subclonal reconstruction
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/aa348a33ae6a40059a2acc59be8bbea2
work_keys_str_mv	AT lydiayliu quantifyingtheinfluenceofmutationdetectionontumoursubclonalreconstruction AT vinayakbhandari quantifyingtheinfluenceofmutationdetectionontumoursubclonalreconstruction AT adrianasalcedo quantifyingtheinfluenceofmutationdetectionontumoursubclonalreconstruction AT shadriellemgespiritu quantifyingtheinfluenceofmutationdetectionontumoursubclonalreconstruction AT quaiddmorris quantifyingtheinfluenceofmutationdetectionontumoursubclonalreconstruction AT thomaskislinger quantifyingtheinfluenceofmutationdetectionontumoursubclonalreconstruction AT paulcboutros quantifyingtheinfluenceofmutationdetectionontumoursubclonalreconstruction
_version_	1718393113430458368

Quantifying the influence of mutation detection on tumour subclonal reconstruction

Ejemplares similares