Strategies to enable large-scale proteomics for reproducible research
Strategies to enable large-scale proteomics for reproducible research
About this item
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Author / Creator
Poulos, Rebecca C. , Hains, Peter G. , Shah, Rohan , Lucas, Natasha , Xavier, Dylan , Manda, Srikanth S. , Anees, Asim , Koh, Jennifer M. S. , Mahboob, Sadia , Wittman, Max , Williams, Steven G. , Sykes, Erin K. , Hecker, Michael , Dausmann, Michael , Wouters, Merridee A. , Ashman, Keith , Yang, Jean , Wild, Peter J. , deFazio, Anna , Balleine, Rosemary L. , Tully, Brett , Aebersold, Ruedi , Speed, Terence P. , Liu, Yansheng , Reddel, Roger R. , Robinson, Phillip J. and Zhong, Qing
Publisher
London: Nature Publishing Group UK
Journal title
Language
English
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Publication information
Publisher
London: Nature Publishing Group UK
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More information
Scope and Contents
Contents
Reproducible research is the bedrock of experimental science. To enable the deployment of large-scale proteomics, we assess the reproducibility of mass spectrometry (MS) over time and across instruments and develop computational methods for improving quantitative accuracy. We perform 1560 data independent acquisition (DIA)-MS runs of eight samples...
Alternative Titles
Full title
Strategies to enable large-scale proteomics for reproducible research
Authors, Artists and Contributors
Author / Creator
Hains, Peter G.
Shah, Rohan
Lucas, Natasha
Xavier, Dylan
Manda, Srikanth S.
Anees, Asim
Koh, Jennifer M. S.
Mahboob, Sadia
Wittman, Max
Williams, Steven G.
Sykes, Erin K.
Hecker, Michael
Dausmann, Michael
Wouters, Merridee A.
Ashman, Keith
Yang, Jean
Wild, Peter J.
deFazio, Anna
Balleine, Rosemary L.
Tully, Brett
Aebersold, Ruedi
Speed, Terence P.
Liu, Yansheng
Reddel, Roger R.
Robinson, Phillip J.
Zhong, Qing
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_f31d48fe5cbd4e4fb32261099a109959
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_f31d48fe5cbd4e4fb32261099a109959
Other Identifiers
ISSN
2041-1723
E-ISSN
2041-1723
DOI
10.1038/s41467-020-17641-3