Harmonising phenomics information for a better interoperability in the rare disease field

التفاصيل البيبلوغرافية
العنوان: Harmonising phenomics information for a better interoperability in the rare disease field
المؤلفون: Michael Brudno, Ana Rath, Helen Parkinson, Tudor Groza, Marc Hanauer, Sebastian Köhler, Simon Jupp, Charlotte Rodwell, Dominik Seelow, Halima Lourghi, Sylvie Maiella, Valérie Lanneau, Annie Olry, Peter N. Robinson, Bruno Donadille
المصدر: European journal of medical genetics. 61(11)
سنة النشر: 2017
مصطلحات موضوعية: 0301 basic medicine, Databases, Factual, Interoperability, Computational Biology, Biological Ontologies, General Medicine, Ontology (information science), Data science, 3. Good health, 03 medical and health sciences, 030104 developmental biology, 0302 clinical medicine, Resource (project management), Phenomics, Phenotype, Rare Diseases, Controlled vocabulary, Human Phenotype Ontology, Genetics, Humans, Exome, 030217 neurology & neurosurgery, Genetics (clinical), Software
الوصف: HIPBI-RD (Harmonising phenomics information for a better interoperability in the rare disease field) is a three-year project which started in 2016 funded via the E-Rare 3 ERA-NET program. This project builds on three resources largely adopted by the rare disease (RD) community: Orphanet, its ontology ORDO (the Orphanet Rare Disease Ontology), HPO (the Human Phenotype Ontology) as well as PhenoTips software for the capture and sharing of structured phenotypic data for RD patients. Our project is further supported by resources developed by the European Bioinformatics Institute and the Garvan Institute. HIPBI-RD aims to provide the community with an integrated, RD-specific bioinformatics ecosystem that will harmonise the way phenomics information is stored in databases and patient files worldwide, and thereby contribute to interoperability. This ecosystem will consist of a suite of tools and ontologies, optimized to work together, and made available through commonly used software repositories. The project workplan follows three main objectives: The HIPBI-RD ecosystem will contribute to the interpretation of variants identified through exome and full genome sequencing by harmonising the way phenotypic information is collected, thus improving diagnostics and delineation of RD. The ultimate goal of HIPBI-RD is to provide a resource that will contribute to bridging genome-scale biology and a disease-centered view on human pathobiology. Achievements in Year 1.
تدمد: 1878-0849
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e2dc2a69fbea71a1ff99ef711eb99e86Test
https://pubmed.ncbi.nlm.nih.gov/29425702Test
حقوق: CLOSED
رقم الانضمام: edsair.doi.dedup.....e2dc2a69fbea71a1ff99ef711eb99e86
قاعدة البيانات: OpenAIRE