The human physiome: How standards, software and innovative service infrastructures are providing the building blocks to make it achievable

David Nickerson, Koray Atalag, Bernard De Bono, Jörg Geiger, Carole Goble, Susanne Hollmann, Joachim Lonien, Wolfgang Müller, Babette Regierer, Natalie J. Stanford, Martin Golebiewski, Peter Hunter

    Research output: Contribution to journalArticlepeer-review

    Abstract

    Reconstructing and understanding the Human Physiome virtually is a complex mathematical problem, and a highly demanding computational challenge. Mathematical models spanning fromthemolecular 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 fromsuch sources, evenwhen 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 commonframework required to realize theHumanPhysiome. 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 andmodels 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.

    Original languageEnglish
    Article number20150103
    JournalInterface Focus
    Volume6
    Issue number2
    Early online date19 Feb 2016
    DOIs
    Publication statusPublished - 6 Apr 2016

    Keywords

    • Human Physiome
    • Managing big data
    • Repositories
    • Reproducible science
    • Service infrastructure
    • Standards

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