Cargando…
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...
Autores principales: | , , , , , , , , , , , , , , , , , , , , |
---|---|
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 |
_version_ | 1783520006992035840 |
---|---|
author | 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 |
author_facet | 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 |
author_sort | Deutsch, Eric W |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7145525 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-71455252020-04-13 The ProteomeXchange consortium in 2020: enabling ‘big data’ approaches in proteomics 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 Nucleic Acids Res Database Issue 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. Oxford University Press 2020-01-08 2019-11-05 /pmc/articles/PMC7145525/ /pubmed/31686107 http://dx.doi.org/10.1093/nar/gkz984 Text en © The Author(s) 2019. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Database Issue 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 The ProteomeXchange consortium in 2020: enabling ‘big data’ approaches in proteomics |
title | The ProteomeXchange consortium in 2020: enabling ‘big data’ approaches in proteomics |
title_full | The ProteomeXchange consortium in 2020: enabling ‘big data’ approaches in proteomics |
title_fullStr | The ProteomeXchange consortium in 2020: enabling ‘big data’ approaches in proteomics |
title_full_unstemmed | The ProteomeXchange consortium in 2020: enabling ‘big data’ approaches in proteomics |
title_short | The ProteomeXchange consortium in 2020: enabling ‘big data’ approaches in proteomics |
title_sort | proteomexchange consortium in 2020: enabling ‘big data’ approaches in proteomics |
topic | Database Issue |
url | 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 |
work_keys_str_mv | AT deutschericw theproteomexchangeconsortiumin2020enablingbigdataapproachesinproteomics AT bandeiranuno theproteomexchangeconsortiumin2020enablingbigdataapproachesinproteomics AT sharmavagisha theproteomexchangeconsortiumin2020enablingbigdataapproachesinproteomics AT perezriverolyasset theproteomexchangeconsortiumin2020enablingbigdataapproachesinproteomics AT carverjeremyj theproteomexchangeconsortiumin2020enablingbigdataapproachesinproteomics AT kundudeeptij theproteomexchangeconsortiumin2020enablingbigdataapproachesinproteomics AT garciaseisdedosdavid theproteomexchangeconsortiumin2020enablingbigdataapproachesinproteomics AT jarnuczakandrewf theproteomexchangeconsortiumin2020enablingbigdataapproachesinproteomics AT hewapathiranasuresh theproteomexchangeconsortiumin2020enablingbigdataapproachesinproteomics AT pullmanbenjamins theproteomexchangeconsortiumin2020enablingbigdataapproachesinproteomics AT wertzjulie theproteomexchangeconsortiumin2020enablingbigdataapproachesinproteomics AT sunzhi theproteomexchangeconsortiumin2020enablingbigdataapproachesinproteomics AT kawanoshin theproteomexchangeconsortiumin2020enablingbigdataapproachesinproteomics AT okudashujiro theproteomexchangeconsortiumin2020enablingbigdataapproachesinproteomics AT watanabeyu theproteomexchangeconsortiumin2020enablingbigdataapproachesinproteomics AT hermjakobhenning theproteomexchangeconsortiumin2020enablingbigdataapproachesinproteomics AT macleanbrendan theproteomexchangeconsortiumin2020enablingbigdataapproachesinproteomics AT maccossmichaelj theproteomexchangeconsortiumin2020enablingbigdataapproachesinproteomics AT zhuyunping theproteomexchangeconsortiumin2020enablingbigdataapproachesinproteomics AT ishihamayasushi theproteomexchangeconsortiumin2020enablingbigdataapproachesinproteomics AT vizcainojuana theproteomexchangeconsortiumin2020enablingbigdataapproachesinproteomics AT deutschericw proteomexchangeconsortiumin2020enablingbigdataapproachesinproteomics AT bandeiranuno proteomexchangeconsortiumin2020enablingbigdataapproachesinproteomics AT sharmavagisha proteomexchangeconsortiumin2020enablingbigdataapproachesinproteomics AT perezriverolyasset proteomexchangeconsortiumin2020enablingbigdataapproachesinproteomics AT carverjeremyj proteomexchangeconsortiumin2020enablingbigdataapproachesinproteomics AT kundudeeptij proteomexchangeconsortiumin2020enablingbigdataapproachesinproteomics AT garciaseisdedosdavid proteomexchangeconsortiumin2020enablingbigdataapproachesinproteomics AT jarnuczakandrewf proteomexchangeconsortiumin2020enablingbigdataapproachesinproteomics AT hewapathiranasuresh proteomexchangeconsortiumin2020enablingbigdataapproachesinproteomics AT pullmanbenjamins proteomexchangeconsortiumin2020enablingbigdataapproachesinproteomics AT wertzjulie proteomexchangeconsortiumin2020enablingbigdataapproachesinproteomics AT sunzhi proteomexchangeconsortiumin2020enablingbigdataapproachesinproteomics AT kawanoshin proteomexchangeconsortiumin2020enablingbigdataapproachesinproteomics AT okudashujiro proteomexchangeconsortiumin2020enablingbigdataapproachesinproteomics AT watanabeyu proteomexchangeconsortiumin2020enablingbigdataapproachesinproteomics AT hermjakobhenning proteomexchangeconsortiumin2020enablingbigdataapproachesinproteomics AT macleanbrendan proteomexchangeconsortiumin2020enablingbigdataapproachesinproteomics AT maccossmichaelj proteomexchangeconsortiumin2020enablingbigdataapproachesinproteomics AT zhuyunping proteomexchangeconsortiumin2020enablingbigdataapproachesinproteomics AT ishihamayasushi proteomexchangeconsortiumin2020enablingbigdataapproachesinproteomics AT vizcainojuana proteomexchangeconsortiumin2020enablingbigdataapproachesinproteomics |