Framework for quality assessment of whole genome cancer sequences

Working with cancer genomes from multiple projects can increase investigative power, but quality of sequences can vary. Here, the authors present a framework for comparing whole genome sequencing quality to help researchers guide downstream analyses and exclude poor quality samples.

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Autores principales:	Justin P. Whalley, Ivo Buchhalter, Esther Rheinbay, Keiran M. Raine, Miranda D. Stobbe, Kortine Kleinheinz, Johannes Werner, Sergi Beltran, Marta Gut, Daniel Hübschmann, Barbara Hutter, Dimitri Livitz, Marc D. Perry, Mara Rosenberg, Gordon Saksena, Jean-Rémi Trotta, Roland Eils, Daniela S. Gerhard, Peter J. Campbell, Matthias Schlesner, Ivo G. Gut
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/ba676c81737441b295bb24df190a545c
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spelling	oai:doaj.org-article:ba676c81737441b295bb24df190a545c2021-12-02T18:01:42ZFramework for quality assessment of whole genome cancer sequences10.1038/s41467-020-18688-y2041-1723https://doaj.org/article/ba676c81737441b295bb24df190a545c2020-10-01T00:00:00Zhttps://doi.org/10.1038/s41467-020-18688-yhttps://doaj.org/toc/2041-1723Working with cancer genomes from multiple projects can increase investigative power, but quality of sequences can vary. Here, the authors present a framework for comparing whole genome sequencing quality to help researchers guide downstream analyses and exclude poor quality samples.Justin P. WhalleyIvo BuchhalterEsther RheinbayKeiran M. RaineMiranda D. StobbeKortine KleinheinzJohannes WernerSergi BeltranMarta GutDaniel HübschmannBarbara HutterDimitri LivitzMarc D. PerryMara RosenbergGordon SaksenaJean-Rémi TrottaRoland EilsDaniela S. GerhardPeter J. CampbellMatthias SchlesnerIvo G. GutNature PortfolioarticleScienceQENNature Communications, Vol 11, Iss 1, Pp 1-8 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Justin P. Whalley Ivo Buchhalter Esther Rheinbay Keiran M. Raine Miranda D. Stobbe Kortine Kleinheinz Johannes Werner Sergi Beltran Marta Gut Daniel Hübschmann Barbara Hutter Dimitri Livitz Marc D. Perry Mara Rosenberg Gordon Saksena Jean-Rémi Trotta Roland Eils Daniela S. Gerhard Peter J. Campbell Matthias Schlesner Ivo G. Gut Framework for quality assessment of whole genome cancer sequences
description	Working with cancer genomes from multiple projects can increase investigative power, but quality of sequences can vary. Here, the authors present a framework for comparing whole genome sequencing quality to help researchers guide downstream analyses and exclude poor quality samples.
format	article
author	Justin P. Whalley Ivo Buchhalter Esther Rheinbay Keiran M. Raine Miranda D. Stobbe Kortine Kleinheinz Johannes Werner Sergi Beltran Marta Gut Daniel Hübschmann Barbara Hutter Dimitri Livitz Marc D. Perry Mara Rosenberg Gordon Saksena Jean-Rémi Trotta Roland Eils Daniela S. Gerhard Peter J. Campbell Matthias Schlesner Ivo G. Gut
author_facet	Justin P. Whalley Ivo Buchhalter Esther Rheinbay Keiran M. Raine Miranda D. Stobbe Kortine Kleinheinz Johannes Werner Sergi Beltran Marta Gut Daniel Hübschmann Barbara Hutter Dimitri Livitz Marc D. Perry Mara Rosenberg Gordon Saksena Jean-Rémi Trotta Roland Eils Daniela S. Gerhard Peter J. Campbell Matthias Schlesner Ivo G. Gut
author_sort	Justin P. Whalley
title	Framework for quality assessment of whole genome cancer sequences
title_short	Framework for quality assessment of whole genome cancer sequences
title_full	Framework for quality assessment of whole genome cancer sequences
title_fullStr	Framework for quality assessment of whole genome cancer sequences
title_full_unstemmed	Framework for quality assessment of whole genome cancer sequences
title_sort	framework for quality assessment of whole genome cancer sequences
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/ba676c81737441b295bb24df190a545c
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_version_	1718378950483247104

Framework for quality assessment of whole genome cancer sequences

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