Community-driven roadmap for integrated disease maps
| Autor: | Thomas Ligon, Stephan Gebel, Ugur Dogrusoz, Rudi Balling, Emmanuel Barillot, Jan Hasenauer, David P. Nickerson, Inna Kuperstein, Andrei Zinovyev, Reinhard Schneider, Charles Auffray, Alexander Mazein, Nicolas Le Novère, Daniel Weindl, Piotr Gawron, Anna Niarakis, Marek Ostaszewski, Ronan M. T. Fleming |
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| Přispěvatelé: | Luxembourg Centre For Systems Biomedicine (LCSB), University of Luxembourg [Luxembourg], Institut Curie [Paris], European Institute for Systems Biology and Medicine (EISBM), Bilkent University [Ankara], Helmholtz Zentrum München = German Research Center for Environmental Health, Leiden Academic Centre for Drug Research (LACDR), Ludwig-Maximilians-Universität München (LMU), Laboratoire de recherche européen pour la polyarthrite rhumatoïde (GenHotel), Université d'Évry-Val-d'Essonne (UEVE)-Université Paris-Saclay, Helmholtz-Zentrum München (HZM) |
| Rok vydání: | 2018 |
| Předmět: |
Computer science
Best practice 0206 medical engineering Gene regulatory network 02 engineering and technology Review Article ENCODE Domain (software engineering) Systems biomedicine Translational Research Biomedical 03 medical and health sciences translational medicine disease maps Complexity management molecular biology Humans Gene Regulatory Networks Genetic Predisposition to Disease Biocuration Disease Maps Knowledge Repository Mathematical Modeling Molecular Biology Pathway Representation Translational Medicine 030304 developmental biology 0303 health sciences Models Statistical knowledge repository biocuration Translational medicine mathematical modeling Computational Biology pathway representation Data science [SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM] Compendium 3. Good health [SDV.GEN.GH]Life Sciences [q-bio]/Genetics/Human genetics 020602 bioinformatics Information Systems |
| Zdroj: | Briefings in Bioinformatics Briefings in Bioinformatics, 2019, 20 (2), pp.659-670. ⟨10.1093/bib/bby024⟩ Briefings in Bioinformatics, Oxford University Press (OUP), 2019, 20 (2), pp.659-670. ⟨10.1093/bib/bby024⟩ Brief. Bioinform. 20, 659-670 (2019) |
| ISSN: | 1467-5463 1477-4054 |
| DOI: | 10.31219/osf.io/hcuqa |
| Popis: | International audience; The Disease Maps Project builds on a network of scientific and clinical groups that exchange best practices, share informa-tion and develop systems biomedicine tools. The project aims for an integrated, highly curated and user-friendly platformfor disease-related knowledge. The primary focus of disease maps is on interconnected signaling, metabolic and gene regu-latory network pathways represented in standard formats. The involvement of domain experts ensures that the key dis-ease hallmarks are covered and relevant, up-to-date knowledge is adequately represented. Expert-curated and computerreadable, disease maps may serve as a compendium of knowledge, allow for data-supported hypothesis generation orserve as a scaffold for the generation of predictive mathematical models. This article summarizes the 2nd Disease MapsCommunity meeting, highlighting its important topics and outcomes. We outline milestones on the roadmap for the fu-ture development of disease maps, including creating and maintaining standardized disease maps; sharing parts of mapsthat encode common human disease mechanisms; providing technical solutions for complexity management of maps;and Web tools for in-depth exploration of such maps. A dedicated discussion was focused on mathematical modelingapproaches, as one of the main goals of disease map development is the generation of mathematically interpretablerepresentations to predict disease comorbidity or drug response and to suggest drug repositioning, altogether supportingclinical decisions. |
| Databáze: | OpenAIRE |
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