The ProteomeXchange consortium in 2020: enabling ‘big data’ approaches in proteomics
Author(s) -
Eric W. Deutsch,
Nuno Bandeira,
Vagisha Sharma,
Yasset PérezRiverol,
Jeremy Carver,
Deepti J Kundu,
David GarcíaSeisdedos,
Andrew F. Jarnuczak,
Suresh Hewapathirana,
Benjamin Pullman,
Julie Wertz,
Zhi Sun,
Shin Kawano,
Shujiro Okuda,
Yu Watanabe,
Henning Hermjakob,
Brendan MacLean,
Michael J. MacCoss,
Yunping Zhu,
Yasushi Ishihama,
Juan Antonio Vizcaíno
Publication year - 2019
Publication title -
nucleic acids research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 9.008
H-Index - 537
eISSN - 1362-4954
pISSN - 0305-1048
DOI - 10.1093/nar/gkz984
Subject(s) - biology , proteomics , computational biology , genetics , gene
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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