
- University of Antwerp Belgium
- Max Planck Institute for Heart and Lung Research Germany
- Czech Academy of Sciences Czech Republic
- Leiden University Medical Center Netherlands
- Hasselt University Belgium
- Bielefeld University Germany
- Lund University Sweden
- National Bioinformatics Infrastructure Sweden Sweden
- Dutch Techcentre for Life Sciences Netherlands
- University of Southern Denmark Denmark
- Hasselt University Belgium
- LUNDS UNIVERSITET Sweden
- University of Geneva Switzerland
- VIB-UGent Center for Medical Biotechnology Belgium
- University of Groningen Netherlands
- Ghent University Belgium
- Czech Academy of Sciences Czech Republic
- SIB SWISS INSTITUTE OF BIOINFORMATICS Switzerland
- Max Planck Society Germany
- Faculty of 1000 United States
- University of Tübingen Germany
- European Molecular Biology Laboratory - European Bioinformatics Institute United Kingdom
- Université Paris Diderot France
- University of Padua Italy
- European Molecular Biology Laboratory, European Bioinformatics Institute, Thornton Group United Kingdom
- Utrecht University Netherlands
- Swiss Institute of Bioinformatics Switzerland
- Centro Nacional de Biotecnologia (CSIC) Spain
- University of Groningen Netherlands
- National Center for Biotechnology Spain
- Institute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences (IOCB), Prague, Czech Republic Czech Republic
- University of Geneva, Centre for Computer Science (CUI) Switzerland
- Institute of Microbiology Czech Republic
- Spanish National Research Council Spain
- Netherlands Metabolomics Centre Netherlands
- Ruhr University Bochum Germany
- Max Planck Institute for Developmental Biology Germany
- European Molecular Biology Laboratory Germany
- Faculty of 1000 (United Kingdom) United Kingdom
- European Bioinformatics Institute United Kingdom
- Quantitative Biology Center Germany
- Institute of Organic Chemistry and Biochemistry Czech Republic
- Faculty of 1000 (United States) United States
Computational approaches have been major drivers behind the progress of proteomics in recent years. The aim of this white paper is to provide a framework for integrating computational proteomics into ELIXIR in the near future, and thus to broaden the portfolio of omics technologies supported by this European distributed infrastructure. This white paper is the direct result of a strategy meeting on 'The Future of Proteomics in ELIXIR' that took place in March 2017 in Tübingen (Germany), and involved representatives of eleven ELIXIR nodes. These discussions led to a list of priority areas in computational proteomics that would complement existing activities and close gaps in the portfolio of tools and services offered by ELIXIR so far. We provide some suggestions on how these activities could be integrated into ELIXIR's existing platforms, and how it could lead to a new ELIXIR use case in proteomics. We also highlight connections to the related field of metabolomics, where similar activities are ongoing. This white paper could thus serve as a starting point for the integration of computational proteomics into ELIXIR. Over the next few months we will be working closely with all stakeholders involved, and in particular with other representatives of the proteomics community, to further refine this paper.
The meeting was funded by funds provided by the ELIXIR Central Hub (supported by EU H2020 Research Infrastructures). This activity is included in the ELIXIR Implementation Project entitled ‘Mining the Proteome: Enabling Automated Processing and Analysis of Large-Scale Proteomics Data’.
We acknowledge support by the CSIC Open Access Publication Initiative through its Unit of Information Resources for Research (URICI).
Opinion Article.-- et al.
Peer Reviewed