Community-driven roadmap for integrated disease maps

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buir.contributor.authorDoğrusöz, Uğur
dc.citation.epage12en_US
dc.citation.spage1en_US
dc.contributor.authorOstaszewski, M.en_US
dc.contributor.authorGebel, S.en_US
dc.contributor.authorKuperstein, I.en_US
dc.contributor.authorMazein, A.en_US
dc.contributor.authorZinovyev, A.en_US
dc.contributor.authorDoğrusöz, Uğuren_US
dc.contributor.authorHasenauer, J.en_US
dc.contributor.authorFleming, R. M. T.en_US
dc.contributor.authorNovere, N. L.en_US
dc.contributor.authorGawron, P.en_US
dc.contributor.authorLigon, T.en_US
dc.contributor.authorNiarakis, A.en_US
dc.contributor.authorNickerson, D.en_US
dc.contributor.authorWeindl, D.en_US
dc.contributor.authorBalling, R.en_US
dc.contributor.authorBarillot, E.en_US
dc.contributor.authorAuffray, C.en_US
dc.contributor.authorSchneider, R.en_US
dc.date.accessioned2019-02-23T08:54:14Z
dc.date.available2019-02-23T08:54:14Z
dc.date.issued2018en_US
dc.departmentDepartment of Computer Engineeringen_US
dc.description.abstractThe 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.en_US
dc.description.provenanceSubmitted by Onur Emek (onur.emek@bilkent.edu.tr) on 2019-02-23T08:54:14Z No. of bitstreams: 1 Community-driven_roadmap_for_integrated_disease_maps.pdf: 718344 bytes, checksum: 311464ddf14ee15ddc4a2d999dc0ac17 (MD5)en
dc.description.provenanceMade available in DSpace on 2019-02-23T08:54:14Z (GMT). No. of bitstreams: 1 Community-driven_roadmap_for_integrated_disease_maps.pdf: 718344 bytes, checksum: 311464ddf14ee15ddc4a2d999dc0ac17 (MD5) Previous issue date: 2018en
dc.identifier.doi10.1093/bib/bby024en_US
dc.identifier.eissn1477-4054
dc.identifier.issn1467-5463
dc.identifier.urihttp://hdl.handle.net/11693/50562
dc.language.isoEnglishen_US
dc.publisherOxford University Pressen_US
dc.relation.isversionofhttps://doi.org/10.1093/bib/bby024en_US
dc.source.titleBriefings in Bioinformaticsen_US
dc.subjectDisease mapsen_US
dc.subjectMolecular biologyen_US
dc.subjectMathematical modelingen_US
dc.subjectKnowledge repositoryen_US
dc.subjectBiocurationen_US
dc.subjectTranslational medicineen_US
dc.subjectPathway representationen_US
dc.titleCommunity-driven roadmap for integrated disease mapsen_US
dc.typeReviewen_US

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