A proteomics sample metadata representation for multiomics integration and big data analysis

A proteomics sample metadata representation for multiomics integration and big data analysis

The number of publicly available proteomics datasets is growing rapidly, but a standardized approach for describing the associated metadata is lacking. Here, the authors propose a format and a software pipeline to present and validate metadata, and integrate them into ProteomeXchange repositories.

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Autores principales: Chengxin Dai, Anja Füllgrabe, Julianus Pfeuffer, Elizaveta M. Solovyeva, Jingwen Deng, Pablo Moreno, Selvakumar Kamatchinathan, Deepti Jaiswal Kundu, Nancy George, Silvie Fexova, Björn Grüning, Melanie Christine Föll, Johannes Griss, Marc Vaudel, Enrique Audain, Marie Locard-Paulet, Michael Turewicz, Martin Eisenacher, Julian Uszkoreit, Tim Van Den Bossche, Veit Schwämmle, Henry Webel, Stefan Schulze, David Bouyssié, Savita Jayaram, Vinay Kumar Duggineni, Patroklos Samaras, Mathias Wilhelm, Meena Choi, Mingxun Wang, Oliver Kohlbacher, Alvis Brazma, Irene Papatheodorou, Nuno Bandeira, Eric W. Deutsch, Juan Antonio Vizcaíno, Mingze Bai, Timo Sachsenberg, Lev I. Levitsky, Yasset Perez-Riverol
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/33519ff7742042fb963af4bf5ef059fa
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spelling oai:doaj.org-article:33519ff7742042fb963af4bf5ef059fa2021-12-02T17:13:18ZA proteomics sample metadata representation for multiomics integration and big data analysis10.1038/s41467-021-26111-32041-1723https://doaj.org/article/33519ff7742042fb963af4bf5ef059fa2021-10-01T00:00:00Zhttps://doi.org/10.1038/s41467-021-26111-3https://doaj.org/toc/2041-1723The number of publicly available proteomics datasets is growing rapidly, but a standardized approach for describing the associated metadata is lacking. Here, the authors propose a format and a software pipeline to present and validate metadata, and integrate them into ProteomeXchange repositories.Chengxin DaiAnja FüllgrabeJulianus PfeufferElizaveta M. SolovyevaJingwen DengPablo MorenoSelvakumar KamatchinathanDeepti Jaiswal KunduNancy GeorgeSilvie FexovaBjörn GrüningMelanie Christine FöllJohannes GrissMarc VaudelEnrique AudainMarie Locard-PauletMichael TurewiczMartin EisenacherJulian UszkoreitTim Van Den BosscheVeit SchwämmleHenry WebelStefan SchulzeDavid BouyssiéSavita JayaramVinay Kumar DuggineniPatroklos SamarasMathias WilhelmMeena ChoiMingxun WangOliver KohlbacherAlvis BrazmaIrene PapatheodorouNuno BandeiraEric W. DeutschJuan Antonio VizcaínoMingze BaiTimo SachsenbergLev I. LevitskyYasset Perez-RiverolNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-8 (2021)
institution DOAJ
collection DOAJ
language EN
topic Science
Q
spellingShingle Science
Q
Chengxin Dai
Anja Füllgrabe
Julianus Pfeuffer
Elizaveta M. Solovyeva
Jingwen Deng
Pablo Moreno
Selvakumar Kamatchinathan
Deepti Jaiswal Kundu
Nancy George
Silvie Fexova
Björn Grüning
Melanie Christine Föll
Johannes Griss
Marc Vaudel
Enrique Audain
Marie Locard-Paulet
Michael Turewicz
Martin Eisenacher
Julian Uszkoreit
Tim Van Den Bossche
Veit Schwämmle
Henry Webel
Stefan Schulze
David Bouyssié
Savita Jayaram
Vinay Kumar Duggineni
Patroklos Samaras
Mathias Wilhelm
Meena Choi
Mingxun Wang
Oliver Kohlbacher
Alvis Brazma
Irene Papatheodorou
Nuno Bandeira
Eric W. Deutsch
Juan Antonio Vizcaíno
Mingze Bai
Timo Sachsenberg
Lev I. Levitsky
Yasset Perez-Riverol
A proteomics sample metadata representation for multiomics integration and big data analysis
description The number of publicly available proteomics datasets is growing rapidly, but a standardized approach for describing the associated metadata is lacking. Here, the authors propose a format and a software pipeline to present and validate metadata, and integrate them into ProteomeXchange repositories.
format article
author Chengxin Dai
Anja Füllgrabe
Julianus Pfeuffer
Elizaveta M. Solovyeva
Jingwen Deng
Pablo Moreno
Selvakumar Kamatchinathan
Deepti Jaiswal Kundu
Nancy George
Silvie Fexova
Björn Grüning
Melanie Christine Föll
Johannes Griss
Marc Vaudel
Enrique Audain
Marie Locard-Paulet
Michael Turewicz
Martin Eisenacher
Julian Uszkoreit
Tim Van Den Bossche
Veit Schwämmle
Henry Webel
Stefan Schulze
David Bouyssié
Savita Jayaram
Vinay Kumar Duggineni
Patroklos Samaras
Mathias Wilhelm
Meena Choi
Mingxun Wang
Oliver Kohlbacher
Alvis Brazma
Irene Papatheodorou
Nuno Bandeira
Eric W. Deutsch
Juan Antonio Vizcaíno
Mingze Bai
Timo Sachsenberg
Lev I. Levitsky
Yasset Perez-Riverol
author_facet Chengxin Dai
Anja Füllgrabe
Julianus Pfeuffer
Elizaveta M. Solovyeva
Jingwen Deng
Pablo Moreno
Selvakumar Kamatchinathan
Deepti Jaiswal Kundu
Nancy George
Silvie Fexova
Björn Grüning
Melanie Christine Föll
Johannes Griss
Marc Vaudel
Enrique Audain
Marie Locard-Paulet
Michael Turewicz
Martin Eisenacher
Julian Uszkoreit
Tim Van Den Bossche
Veit Schwämmle
Henry Webel
Stefan Schulze
David Bouyssié
Savita Jayaram
Vinay Kumar Duggineni
Patroklos Samaras
Mathias Wilhelm
Meena Choi
Mingxun Wang
Oliver Kohlbacher
Alvis Brazma
Irene Papatheodorou
Nuno Bandeira
Eric W. Deutsch
Juan Antonio Vizcaíno
Mingze Bai
Timo Sachsenberg
Lev I. Levitsky
Yasset Perez-Riverol
author_sort Chengxin Dai
title A proteomics sample metadata representation for multiomics integration and big data analysis
title_short A proteomics sample metadata representation for multiomics integration and big data analysis
title_full A proteomics sample metadata representation for multiomics integration and big data analysis
title_fullStr A proteomics sample metadata representation for multiomics integration and big data analysis
title_full_unstemmed A proteomics sample metadata representation for multiomics integration and big data analysis
title_sort proteomics sample metadata representation for multiomics integration and big data analysis
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/33519ff7742042fb963af4bf5ef059fa
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