Strategies to enable large-scale proteomics for reproducible research

Clinical proteomics critically depends on the ability to acquire highly reproducible data over an extended period of time. Here, the authors assess reproducibility over four months across different mass spectrometers and develop a computational approach to mitigate variation among instruments over t...

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Autores principales:	Rebecca C. Poulos, Peter G. Hains, Rohan Shah, Natasha Lucas, Dylan Xavier, Srikanth S. Manda, Asim Anees, Jennifer M. S. Koh, Sadia Mahboob, Max Wittman, Steven G. Williams, Erin K. Sykes, Michael Hecker, Michael Dausmann, Merridee A. Wouters, Keith Ashman, Jean Yang, Peter J. Wild, Anna deFazio, Rosemary L. Balleine, Brett Tully, Ruedi Aebersold, Terence P. Speed, Yansheng Liu, Roger R. Reddel, Phillip J. Robinson, Qing Zhong
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/f31d48fe5cbd4e4fb32261099a109959
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spelling	oai:doaj.org-article:f31d48fe5cbd4e4fb32261099a1099592021-12-02T16:24:53ZStrategies to enable large-scale proteomics for reproducible research10.1038/s41467-020-17641-32041-1723https://doaj.org/article/f31d48fe5cbd4e4fb32261099a1099592020-07-01T00:00:00Zhttps://doi.org/10.1038/s41467-020-17641-3https://doaj.org/toc/2041-1723Clinical proteomics critically depends on the ability to acquire highly reproducible data over an extended period of time. Here, the authors assess reproducibility over four months across different mass spectrometers and develop a computational approach to mitigate variation among instruments over time.Rebecca C. PoulosPeter G. HainsRohan ShahNatasha LucasDylan XavierSrikanth S. MandaAsim AneesJennifer M. S. KohSadia MahboobMax WittmanSteven G. WilliamsErin K. SykesMichael HeckerMichael DausmannMerridee A. WoutersKeith AshmanJean YangPeter J. WildAnna deFazioRosemary L. BalleineBrett TullyRuedi AebersoldTerence P. SpeedYansheng LiuRoger R. ReddelPhillip J. RobinsonQing ZhongNature PortfolioarticleScienceQENNature Communications, Vol 11, Iss 1, Pp 1-13 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Rebecca C. Poulos Peter G. Hains Rohan Shah Natasha Lucas Dylan Xavier Srikanth S. Manda Asim Anees Jennifer M. S. Koh Sadia Mahboob Max Wittman Steven G. Williams Erin K. Sykes Michael Hecker Michael Dausmann Merridee A. Wouters Keith Ashman Jean Yang Peter J. Wild Anna deFazio Rosemary L. Balleine Brett Tully Ruedi Aebersold Terence P. Speed Yansheng Liu Roger R. Reddel Phillip J. Robinson Qing Zhong Strategies to enable large-scale proteomics for reproducible research
description	Clinical proteomics critically depends on the ability to acquire highly reproducible data over an extended period of time. Here, the authors assess reproducibility over four months across different mass spectrometers and develop a computational approach to mitigate variation among instruments over time.
format	article
author	Rebecca C. Poulos Peter G. Hains Rohan Shah Natasha Lucas Dylan Xavier Srikanth S. Manda Asim Anees Jennifer M. S. Koh Sadia Mahboob Max Wittman Steven G. Williams Erin K. Sykes Michael Hecker Michael Dausmann Merridee A. Wouters Keith Ashman Jean Yang Peter J. Wild Anna deFazio Rosemary L. Balleine Brett Tully Ruedi Aebersold Terence P. Speed Yansheng Liu Roger R. Reddel Phillip J. Robinson Qing Zhong
author_facet	Rebecca C. Poulos Peter G. Hains Rohan Shah Natasha Lucas Dylan Xavier Srikanth S. Manda Asim Anees Jennifer M. S. Koh Sadia Mahboob Max Wittman Steven G. Williams Erin K. Sykes Michael Hecker Michael Dausmann Merridee A. Wouters Keith Ashman Jean Yang Peter J. Wild Anna deFazio Rosemary L. Balleine Brett Tully Ruedi Aebersold Terence P. Speed Yansheng Liu Roger R. Reddel Phillip J. Robinson Qing Zhong
author_sort	Rebecca C. Poulos
title	Strategies to enable large-scale proteomics for reproducible research
title_short	Strategies to enable large-scale proteomics for reproducible research
title_full	Strategies to enable large-scale proteomics for reproducible research
title_fullStr	Strategies to enable large-scale proteomics for reproducible research
title_full_unstemmed	Strategies to enable large-scale proteomics for reproducible research
title_sort	strategies to enable large-scale proteomics for reproducible research
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/f31d48fe5cbd4e4fb32261099a109959
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Strategies to enable large-scale proteomics for reproducible research

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