Benchmarking pipelines for subclonal deconvolution of bulk tumour sequencing data

Subclonal deconvolution in cancer sequencing data is a complex task, and the optimal tools to use are unclear. Here, the authors systematically benchmark subclonal deconvolution pipelines with a comprehensive set of simulated tumour genomes and identify the best-performing methods.

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Autores principales:	Georgette Tanner, David R. Westhead, Alastair Droop, Lucy F. Stead
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/f5475b13ac43401197d2270caf88aa9a
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spelling	oai:doaj.org-article:f5475b13ac43401197d2270caf88aa9a2021-11-08T11:08:07ZBenchmarking pipelines for subclonal deconvolution of bulk tumour sequencing data10.1038/s41467-021-26698-72041-1723https://doaj.org/article/f5475b13ac43401197d2270caf88aa9a2021-11-01T00:00:00Zhttps://doi.org/10.1038/s41467-021-26698-7https://doaj.org/toc/2041-1723Subclonal deconvolution in cancer sequencing data is a complex task, and the optimal tools to use are unclear. Here, the authors systematically benchmark subclonal deconvolution pipelines with a comprehensive set of simulated tumour genomes and identify the best-performing methods.Georgette TannerDavid R. WestheadAlastair DroopLucy F. SteadNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-9 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Georgette Tanner David R. Westhead Alastair Droop Lucy F. Stead Benchmarking pipelines for subclonal deconvolution of bulk tumour sequencing data
description	Subclonal deconvolution in cancer sequencing data is a complex task, and the optimal tools to use are unclear. Here, the authors systematically benchmark subclonal deconvolution pipelines with a comprehensive set of simulated tumour genomes and identify the best-performing methods.
format	article
author	Georgette Tanner David R. Westhead Alastair Droop Lucy F. Stead
author_facet	Georgette Tanner David R. Westhead Alastair Droop Lucy F. Stead
author_sort	Georgette Tanner
title	Benchmarking pipelines for subclonal deconvolution of bulk tumour sequencing data
title_short	Benchmarking pipelines for subclonal deconvolution of bulk tumour sequencing data
title_full	Benchmarking pipelines for subclonal deconvolution of bulk tumour sequencing data
title_fullStr	Benchmarking pipelines for subclonal deconvolution of bulk tumour sequencing data
title_full_unstemmed	Benchmarking pipelines for subclonal deconvolution of bulk tumour sequencing data
title_sort	benchmarking pipelines for subclonal deconvolution of bulk tumour sequencing data
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/f5475b13ac43401197d2270caf88aa9a
work_keys_str_mv	AT georgettetanner benchmarkingpipelinesforsubclonaldeconvolutionofbulktumoursequencingdata AT davidrwesthead benchmarkingpipelinesforsubclonaldeconvolutionofbulktumoursequencingdata AT alastairdroop benchmarkingpipelinesforsubclonaldeconvolutionofbulktumoursequencingdata AT lucyfstead benchmarkingpipelinesforsubclonaldeconvolutionofbulktumoursequencingdata
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Benchmarking pipelines for subclonal deconvolution of bulk tumour sequencing data

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