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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...
Autores principales: | , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2018
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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. |
format | Online Article Text |
id | pubmed-6556900 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
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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