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The Human Physiome: how standards software and innovative service infrastructures are providing the building blocks to make it achievable

机译：人体生理学：标准软件和创新服务基础架构如何提供构建模块以使其可实现

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摘要

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.
机译：重建和理解人体生理学实际上是一个复杂的数学问题，并且是一个非常苛刻的计算挑战。从分子水平到个人整体的数学模型必须进行整合，然后进行个性化设置。这就要求与多个不同且地理位置分开的数据源以及无数的计算软件工具具有互操作性。即使在数据库和软件容易获得的情况下，从这样的资源中提取和产生知识也是一项艰巨的任务。尽管困难重重，研究人员仍必须经常执行这些任务，以便可以将可用知识不断集成到实现人体生理学所需的通用框架中。支持生成这些信息的社区的软件和基础架构，以及用于格式化，描述和互连相应数据和计算机模型的底层标准，对于实现人体生理学至关重要。它们为有效，正确地集成，交换和重用数据和模型提供了基础，同时还支持以这些形式传播不断增长的知识。在本文中，我们将探讨支持这项工作的标准，软件工具，存储库和基础结构，并详细说明使它们对于实现人体生理学至关重要的因素。

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