Reconstructing evolutionary trajectories of mutation signature activities in cancer using TrackSig

Cancers evolve as they progress under differing selective pressures. Here, as part of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium, the authors present the method TrackSig the estimates evolutionary trajectories of somatic mutational processes from single bulk tumour data.

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Autores principales:	Yulia Rubanova, Ruian Shi, Caitlin F. Harrigan, Roujia Li, Jeff Wintersinger, Nil Sahin, Amit Deshwar, PCAWG Evolution and Heterogeneity Working Group, Quaid Morris, PCAWG Consortium
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/1a3e0a924fa54deda33cd083d4a87624
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spelling	oai:doaj.org-article:1a3e0a924fa54deda33cd083d4a876242021-12-02T17:32:26ZReconstructing evolutionary trajectories of mutation signature activities in cancer using TrackSig10.1038/s41467-020-14352-72041-1723https://doaj.org/article/1a3e0a924fa54deda33cd083d4a876242020-02-01T00:00:00Zhttps://doi.org/10.1038/s41467-020-14352-7https://doaj.org/toc/2041-1723Cancers evolve as they progress under differing selective pressures. Here, as part of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium, the authors present the method TrackSig the estimates evolutionary trajectories of somatic mutational processes from single bulk tumour data.Yulia RubanovaRuian ShiCaitlin F. HarriganRoujia LiJeff WintersingerNil SahinAmit DeshwarPCAWG Evolution and Heterogeneity Working GroupQuaid MorrisPCAWG ConsortiumNature PortfolioarticleScienceQENNature Communications, Vol 11, Iss 1, Pp 1-12 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Yulia Rubanova Ruian Shi Caitlin F. Harrigan Roujia Li Jeff Wintersinger Nil Sahin Amit Deshwar PCAWG Evolution and Heterogeneity Working Group Quaid Morris PCAWG Consortium Reconstructing evolutionary trajectories of mutation signature activities in cancer using TrackSig
description	Cancers evolve as they progress under differing selective pressures. Here, as part of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium, the authors present the method TrackSig the estimates evolutionary trajectories of somatic mutational processes from single bulk tumour data.
format	article
author	Yulia Rubanova Ruian Shi Caitlin F. Harrigan Roujia Li Jeff Wintersinger Nil Sahin Amit Deshwar PCAWG Evolution and Heterogeneity Working Group Quaid Morris PCAWG Consortium
author_facet	Yulia Rubanova Ruian Shi Caitlin F. Harrigan Roujia Li Jeff Wintersinger Nil Sahin Amit Deshwar PCAWG Evolution and Heterogeneity Working Group Quaid Morris PCAWG Consortium
author_sort	Yulia Rubanova
title	Reconstructing evolutionary trajectories of mutation signature activities in cancer using TrackSig
title_short	Reconstructing evolutionary trajectories of mutation signature activities in cancer using TrackSig
title_full	Reconstructing evolutionary trajectories of mutation signature activities in cancer using TrackSig
title_fullStr	Reconstructing evolutionary trajectories of mutation signature activities in cancer using TrackSig
title_full_unstemmed	Reconstructing evolutionary trajectories of mutation signature activities in cancer using TrackSig
title_sort	reconstructing evolutionary trajectories of mutation signature activities in cancer using tracksig
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/1a3e0a924fa54deda33cd083d4a87624
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Reconstructing evolutionary trajectories of mutation signature activities in cancer using TrackSig

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