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

Open access
Deutsch, Eric W, Bandeira, Nuno, Sharma, Vagisha, Perez-Riverol, Yasset, Carver, Jeremy J, Kundu, Deepti J, García-Seisdedos, David, Jarnuczak, Andrew F, Hewapathirana, Suresh, Pullman, Benjamin S, Wertz, Julie, Sun, Zhi, Kawano, Shin, Okuda, Shujiro, Watanabe, Yu, Hermjakob, Henning, MacLean, Brendan, MacCoss, Michael J, Zhu, Yunping, Ishihama, Yasushi, Vizcaíno, Juan A·2019·Nucleic Acids Research

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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Metadata

Authors
Deutsch, E. W., Bandeira, N., Sharma, V., Perez-Riverol, Y., Carver, J. J., Kundu, D. J., García-Seisdedos, D., Jarnuczak, A. F., Hewapathirana, S., Pullman, B. S., Wertz, J., Sun, Z., Kawano, S., Okuda, S., Watanabe, Y., Hermjakob, H., MacLean, B., MacCoss, M. J., Zhu, Y., Ishihama, Y., & Vizcaíno, J. A.
Venue
Nucleic Acids Research
Published
2019-11-05
Volume
48
Issue
D1
Pages
D1145-D1152
ISSN
  • 0305-1048 (ISSN-L)
  • 1362-4962
OpenAlex
W2986041539
Cited by
697
References
6
FWCI
36.40
Type
journal article
Language
en
Open access
gold

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Deutsch, E. W., Bandeira, N., Sharma, V., Perez-Riverol, Y., Carver, J. J., Kundu, D. J., García-Seisdedos, D., Jarnuczak, A. F., Hewapathirana, S., Pullman, B. S., Wertz, J., Sun, Z., Kawano, S., Okuda, S., Watanabe, Y., Hermjakob, H., MacLean, B., MacCoss, M. J., Zhu, Y., . . . Vizcaíno, J. A. (2019). The ProteomeXchange consortium in 2020: enabling ‘big data’ approaches in proteomics. Nucleic Acids Research. https://doi.org/10.1093/nar/gkz984

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.