David Nickerson, Koray Atalag, Bernard de Bono, Joerg Geiger, Carole Goble, Susanne Hollmann, Joachim Lonien, Wolfgang Mueller, Babette Regierer, Natalie J. Stanford, Martin Golebiewski, Peter Hunter
- Reconstructing and understanding the Human Physiome virtually is a complex mathematical problem, and a highly demanding computational challenge. Mathematical models spanning from the molecular level through to whole populations of individuals must be integrated, then personalized. This requires interoperability with multiple disparate and geographically separated data sources, and myriad computational software tools. Extracting and producing knowledge from such sources, even when the databases and software are readily available, is a challenging task. Despite the difficulties, researchers must frequently perform these tasks so that available knowledge can be continually integrated into the common framework required to realize the Human Physiome. Software and infrastructures that support the communities that generate these, together with their underlying standards to format, describe and interlink the corresponding data and computer models, are pivotal to the Human Physiome being realized. They provide the foundations for integrating,Reconstructing and understanding the Human Physiome virtually is a complex mathematical problem, and a highly demanding computational challenge. Mathematical models spanning from the molecular level through to whole populations of individuals must be integrated, then personalized. This requires interoperability with multiple disparate and geographically separated data sources, and myriad computational software tools. Extracting and producing knowledge from such sources, even when the databases and software are readily available, is a challenging task. Despite the difficulties, researchers must frequently perform these tasks so that available knowledge can be continually integrated into the common framework required to realize the Human Physiome. Software and infrastructures that support the communities that generate these, together with their underlying standards to format, describe and interlink the corresponding data and computer models, are pivotal to the Human Physiome being realized. They provide the foundations for integrating, exchanging and re-using data and models efficiently, and correctly, while also supporting the dissemination of growing knowledge in these forms. In this paper, we explore the standards, software tooling, repositories and infrastructures that support this work, and detail what makes them vital to realizing the Human Physiome.…
MetadatenAuthor details: | David Nickerson, Koray Atalag, Bernard de Bono, Joerg Geiger, Carole Goble, Susanne Hollmann, Joachim Lonien, Wolfgang Mueller, Babette RegiererORCiD, Natalie J. Stanford, Martin Golebiewski, Peter Hunter |
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DOI: | https://doi.org/10.1098/rsfs.2015.0103 |
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ISSN: | 2042-8898 |
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ISSN: | 2042-8901 |
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Pubmed ID: | https://pubmed.ncbi.nlm.nih.gov/27051515 |
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Title of parent work (English): | Interface focus |
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Publisher: | Royal Society |
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Place of publishing: | London |
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Publication type: | Review |
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Language: | English |
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Year of first publication: | 2016 |
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Publication year: | 2016 |
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Release date: | 2020/03/22 |
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Tag: | Human Physiome; managing big data; repositories; reproducible science; service infrastructure; standards |
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Volume: | 6 |
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Number of pages: | 13 |
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First page: | 57 |
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Last Page: | 61 |
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Funding institution: | openEHR Foundation; Virtual Physiological Rat Project (NIH) [P50-GM094503]; Maurice Wilkins Centre for Molecular Biodiscovery; German Federal Ministry for Economic Affairs and Energy (BMWi) via NormSys project [FKZ 01FS14019-FKZ01FS14021]; German Federal Ministry of Education and Research (BMBF) through Virtual Liver Network [FKZ 0315749]; Klaus Tschira Foundation (KTS) |
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Organizational units: | Mathematisch-Naturwissenschaftliche Fakultät / Institut für Biochemie und Biologie |
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Peer review: | Referiert |
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