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

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 publish...

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Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7145525/
https://www.ncbi.nlm.nih.gov/pubmed/31686107
http://dx.doi.org/10.1093/nar/gkz984
Descripción
Sumario: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.