Systems medicine disease maps: community-driven comprehensive representation of disease mechanisms View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2018-12

AUTHORS

Alexander Mazein, Marek Ostaszewski, Inna Kuperstein, Steven Watterson, Nicolas Le Novère, Diane Lefaudeux, Bertrand De Meulder, Johann Pellet, Irina Balaur, Mansoor Saqi, Maria Manuela Nogueira, Feng He, Andrew Parton, Nathanaël Lemonnier, Piotr Gawron, Stephan Gebel, Pierre Hainaut, Markus Ollert, Ugur Dogrusoz, Emmanuel Barillot, Andrei Zinovyev, Reinhard Schneider, Rudi Balling, Charles Auffray

ABSTRACT

The development of computational approaches in systems biology has reached a state of maturity that allows their transition to systems medicine. Despite this progress, intuitive visualisation and context-dependent knowledge representation still present a major bottleneck. In this paper, we describe the Disease Maps Project, an effort towards a community-driven computationally readable comprehensive representation of disease mechanisms. We outline the key principles and the framework required for the success of this initiative, including use of best practices, standards and protocols. We apply a modular approach to ensure efficient sharing and reuse of resources for projects dedicated to specific diseases. Community-wide use of disease maps will accelerate the conduct of biomedical research and lead to new disease ontologies defined from mechanism-based disease endotypes rather than phenotypes. More... »

PAGES

21

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/s41540-018-0059-y

DOI

http://dx.doi.org/10.1038/s41540-018-0059-y

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1104316348

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/29872544


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446 schema:name Department of Infection and Immunity, Luxembourg Institute of Health (LIH), House of BioHealth, 29 Rue Henri Koch, L-4354, Esch-Sur-Alzette, Luxembourg
447 rdf:type schema:Organization
 




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