Ontology highlight
ABSTRACT:
SUBMITTER: Dai C
PROVIDER: S-EPMC8494749 | biostudies-literature | 2021 Oct
REPOSITORIES: biostudies-literature
Dai Chengxin C Füllgrabe Anja A Pfeuffer Julianus J Solovyeva Elizaveta M EM Deng Jingwen J Moreno Pablo P Kamatchinathan Selvakumar S Kundu Deepti Jaiswal DJ George Nancy N Fexova Silvie S Grüning Björn B Föll Melanie Christine MC Griss Johannes J Vaudel Marc M Audain Enrique E Locard-Paulet Marie M Turewicz Michael M Eisenacher Martin M Uszkoreit Julian J Van Den Bossche Tim T Schwämmle Veit V Webel Henry H Schulze Stefan S Bouyssié David D Jayaram Savita S Duggineni Vinay Kumar VK Samaras Patroklos P Wilhelm Mathias M Choi Meena M Wang Mingxun M Kohlbacher Oliver O Brazma Alvis A Papatheodorou Irene I Bandeira Nuno N Deutsch Eric W EW Vizcaíno Juan Antonio JA Bai Mingze M Sachsenberg Timo T Levitsky Lev I LI Perez-Riverol Yasset Y
Nature communications 20211006 1
The amount of public proteomics data is rapidly increasing but there is no standardized format to describe the sample metadata and their relationship with the dataset files in a way that fully supports their understanding or reanalysis. Here we propose to develop the transcriptomics data format MAGE-TAB into a standard representation for proteomics sample metadata. We implement MAGE-TAB-Proteomics in a crowdsourcing project to manually curate over 200 public datasets. We also describe tools and ...[more]