The ProteomeXchange consortium in 2020: enabling ‘big data’ approaches in proteomics

Eric W. Deutsch(Institute for Systems Biology), Nuno Bandeira(University of California San Diego), Vagisha Sharma(University of Washington), Yasset Pérez‐Riverol(European Bioinformatics Institute), Jeremy Carver(University of California San Diego), Deepti J Kundu(European Bioinformatics Institute), David García‐Seisdedos(European Bioinformatics Institute), Andrew F. Jarnuczak(European Bioinformatics Institute), Suresh Hewapathirana(European Bioinformatics Institute), Benjamin Pullman(University of California San Diego), Julie Wertz(University of California San Diego), Zhi Sun(Institute for Systems Biology), Shin Kawano(Research Organization of Information and Systems), Shujiro Okuda(Niigata University), Yu Watanabe(Niigata University), Henning Hermjakob(European Bioinformatics Institute), Brendan MacLean(University of Washington), Michael J. MacCoss(University of Washington), Yunping Zhu(Beijing Proteome Research Center), Yasushi Ishihama(Kyoto University), Juan Antonio Vizcaíno(European Bioinformatics Institute)
Nucleic Acids Research
October 14, 2019
Cited by 778Open Access
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Abstract

The ProteomeXchange (PX) consortium of proteomics resources (http://www.proteomexchange.org) has standardized data submission and dissemination of mass spectrometry proteomics data worldwide since 2012. In this paper, we describe the main developments since the previous update manuscript was published in Nucleic Acids Research in 2017. Since then, in addition to the four PX existing members at the time (PRIDE, PeptideAtlas including the PASSEL resource, MassIVE and jPOST), two new resources have joined PX: iProX (China) and Panorama Public (USA). We first describe the updated submission guidelines, now expanded to include six members. Next, with current data submission statistics, we demonstrate that the proteomics field is now actively embracing public open data policies. At the end of June 2019, more than 14 100 datasets had been submitted to PX resources since 2012, and from those, more than 9 500 in just the last three years. In parallel, an unprecedented increase of data re-use activities in the field, including 'big data' approaches, is enabling novel research and new data resources. At last, we also outline some of our future plans for the coming years.


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