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Community-driven roadmap for integrated disease maps

The Disease Maps Project builds on a network of scientific and clinical groups that exchange best practices, share information and develop systems biomedicine tools. The project aims for an integrated, highly curated and user-friendly platform for disease-related knowledge. The primary focus of dise...

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Autores principales: Ostaszewski, Marek, Gebel, Stephan, Kuperstein, Inna, Mazein, Alexander, Zinovyev, Andrei, Dogrusoz, Ugur, Hasenauer, Jan, Fleming, Ronan M T, Le Novère, Nicolas, Gawron, Piotr, Ligon, Thomas, Niarakis, Anna, Nickerson, David, Weindl, Daniel, Balling, Rudi, Barillot, Emmanuel, Auffray, Charles, Schneider, Reinhard
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6556900/
https://www.ncbi.nlm.nih.gov/pubmed/29688273
http://dx.doi.org/10.1093/bib/bby024
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author Ostaszewski, Marek
Gebel, Stephan
Kuperstein, Inna
Mazein, Alexander
Zinovyev, Andrei
Dogrusoz, Ugur
Hasenauer, Jan
Fleming, Ronan M T
Le Novère, Nicolas
Gawron, Piotr
Ligon, Thomas
Niarakis, Anna
Nickerson, David
Weindl, Daniel
Balling, Rudi
Barillot, Emmanuel
Auffray, Charles
Schneider, Reinhard
author_facet Ostaszewski, Marek
Gebel, Stephan
Kuperstein, Inna
Mazein, Alexander
Zinovyev, Andrei
Dogrusoz, Ugur
Hasenauer, Jan
Fleming, Ronan M T
Le Novère, Nicolas
Gawron, Piotr
Ligon, Thomas
Niarakis, Anna
Nickerson, David
Weindl, Daniel
Balling, Rudi
Barillot, Emmanuel
Auffray, Charles
Schneider, Reinhard
author_sort Ostaszewski, Marek
collection PubMed
description The Disease Maps Project builds on a network of scientific and clinical groups that exchange best practices, share information and develop systems biomedicine tools. The project aims for an integrated, highly curated and user-friendly platform for disease-related knowledge. The primary focus of disease maps is on interconnected signaling, metabolic and gene regulatory network pathways represented in standard formats. The involvement of domain experts ensures that the key disease hallmarks are covered and relevant, up-to-date knowledge is adequately represented. Expert-curated and computer readable, disease maps may serve as a compendium of knowledge, allow for data-supported hypothesis generation or serve as a scaffold for the generation of predictive mathematical models. This article summarizes the 2nd Disease Maps Community meeting, highlighting its important topics and outcomes. We outline milestones on the roadmap for the future development of disease maps, including creating and maintaining standardized disease maps; sharing parts of maps that 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 modeling approaches, as one of the main goals of disease map development is the generation of mathematically interpretable representations to predict disease comorbidity or drug response and to suggest drug repositioning, altogether supporting clinical decisions.
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spelling pubmed-65569002019-06-14 Community-driven roadmap for integrated disease maps Ostaszewski, Marek Gebel, Stephan Kuperstein, Inna Mazein, Alexander Zinovyev, Andrei Dogrusoz, Ugur Hasenauer, Jan Fleming, Ronan M T Le Novère, Nicolas Gawron, Piotr Ligon, Thomas Niarakis, Anna Nickerson, David Weindl, Daniel Balling, Rudi Barillot, Emmanuel Auffray, Charles Schneider, Reinhard Brief Bioinform Review Article The Disease Maps Project builds on a network of scientific and clinical groups that exchange best practices, share information and develop systems biomedicine tools. The project aims for an integrated, highly curated and user-friendly platform for disease-related knowledge. The primary focus of disease maps is on interconnected signaling, metabolic and gene regulatory network pathways represented in standard formats. The involvement of domain experts ensures that the key disease hallmarks are covered and relevant, up-to-date knowledge is adequately represented. Expert-curated and computer readable, disease maps may serve as a compendium of knowledge, allow for data-supported hypothesis generation or serve as a scaffold for the generation of predictive mathematical models. This article summarizes the 2nd Disease Maps Community meeting, highlighting its important topics and outcomes. We outline milestones on the roadmap for the future development of disease maps, including creating and maintaining standardized disease maps; sharing parts of maps that 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 modeling approaches, as one of the main goals of disease map development is the generation of mathematically interpretable representations to predict disease comorbidity or drug response and to suggest drug repositioning, altogether supporting clinical decisions. Oxford University Press 2018-04-23 /pmc/articles/PMC6556900/ /pubmed/29688273 http://dx.doi.org/10.1093/bib/bby024 Text en © The Author(s) 2018. Published by Oxford University Press. 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 Review Article
Ostaszewski, Marek
Gebel, Stephan
Kuperstein, Inna
Mazein, Alexander
Zinovyev, Andrei
Dogrusoz, Ugur
Hasenauer, Jan
Fleming, Ronan M T
Le Novère, Nicolas
Gawron, Piotr
Ligon, Thomas
Niarakis, Anna
Nickerson, David
Weindl, Daniel
Balling, Rudi
Barillot, Emmanuel
Auffray, Charles
Schneider, Reinhard
Community-driven roadmap for integrated disease maps
title Community-driven roadmap for integrated disease maps
title_full Community-driven roadmap for integrated disease maps
title_fullStr Community-driven roadmap for integrated disease maps
title_full_unstemmed Community-driven roadmap for integrated disease maps
title_short Community-driven roadmap for integrated disease maps
title_sort community-driven roadmap for integrated disease maps
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6556900/
https://www.ncbi.nlm.nih.gov/pubmed/29688273
http://dx.doi.org/10.1093/bib/bby024
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