학술논문
A proteomics sample metadata representation for multiomics integration and big data analysis
Document Type
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
Source
Nature Communications, Vol 12, Iss 1, Pp 1-8 (2021)
Subject
Language
English
ISSN
2041-1723
Abstract
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.