Nature Communications (Oct 2021)

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

  • 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

DOI
https://doi.org/10.1038/s41467-021-26111-3
Journal volume & issue
Vol. 12, no. 1
pp. 1 – 8

Abstract

Read online

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.