Hypothesis Web Development for Neuropsychiatric Phenomics (6 of 8)

翻译研究的一个主要障碍是提出跨越多个层面的假设 生物医学研究。对于复杂的神经精神障碍来说尤其如此，它涉及多个方面 在许多物理尺度上的许多科学学科。涉及多个学科的联合努力包括 要取得任何实质性进展，就必须这样做。我们建议开发一个软件平台，称为 假说网络，允许协作制定复杂的科学假说。它代表着一种 科学假说构思和检验的新方法，其中：(1)假说是 协作重点；(2)将文献、数据和注释组织在一个可用的界面中；(3) 翻译研究小组共同努力，为这一假说开发一个网站，其中包含 累积证据；(4)跨越多个层次的假设被表示为层次图；(5) 假说可以用元分析等工具进行分析检验；(6)由此产生的假说网站可以 共享、模块化和发布。 我们建议开发该平台作为现有基于Web的开源系统的扩展 在线科学文献的协作、数据管理、建模和访问。具体地说：类似维基的 为协作性改进假设而增强的平台。Web代表的假设 假设在视觉上是标识相关概念和关联的带标签的图表模型。这 图形化方法允许对不同类型的假设模型进行可视化规范，包括路径 图表、测量模型和结构方程模型。然后可以在2D中表示这些图表 地图显示，我们称之为假设地图。我们对假设Web的设计是建立在 在我们的P20规划基金(P20RR020750)下开发了许多表型分析结果。系统 将用于记录由财团项目开发的假设。它将被开发为 现有的开放源码系统，并随着该项目期间的发展而免费提供。 我们还建议开发一个用于生成现象地图集的平台，使用假设Web作为一个 基础，但扩展了以知识为基础的探索能力。从概念上讲，一组相关的 假说网可以捆绑在一起，形成一个地图集。因此，地图集是一种出版媒介， 允许传播相关地图(假设)的集合。与财团合作 研究项目我们将构建物候学地图集。

A major obstacle to translational research is the formulation of hypotheses that span multiple levels of biomedical research. This is particularly true for complex neuropsychiatric disorders, which involve aspects of many scientific disciplines at many physical scales. Combined efforts involving multiple disciplines are needed in order to make any substantial progress. We propose development of a software platform called the Hypothesis Web that permits collaborative formulation of complex scientific hypotheses. It represents a novel approach to the way scientific hypotheses are conceived and tested, in which: (1) hypotheses are the focus of collaboration; (2) literature, data, and annotations are organized in a usable interface; (3) translational research groups work together to develop a web site for the hypothesis that contains accumulated evidence; (4) hypotheses that span multiple levels are represented as hierarchical graphs; (5) hypotheses can be inspected analytically with tools like meta-analysis; (6) resulting hypothesis web sites can be shared, modularized, and published. We propose to develop this platform as an extension of existing open-source systems for web-based collaboration, data management, modeling, and access of online scientific literature. Specifically: a wiki-like platform augmented for collaborative refinement of hypotheses. The Hypothesis Web represents hypotheses visually as labeled graph models that identify the relevant concepts and associations. This graphical approach permits visual specification of hypothesized models of different kinds, including pathway diagrams, measurement models, and structural equation models. The graphs can then be represented in 2D cartographic displays that we refer to as Hypothesis Maps. Our design for the Hypothesis Web builds on many results for phenotype analysis developed under our P20 planning grant (P20RR020750). The system will be used to record hypotheses developed by Consortium Projects. It will be developed as an extension of existing open-source systems, and be made freely available as it evolves over the duration of this project. We also propose development of a platform for producing a Phenomic Atlas, using the Hypothesis Web as a foundation, but extended with knowledge-based capabilities for exploration. Conceptually a related set of Hypothesis Webs can be bundled together to form an Atlas. Thus the Atlas is a medium for publication that permits dissemination of a collection of related Maps (hypotheses). In collaboration with Consortium Research Projects we will construct Phenomic Atlases.