Hypothesis Web Development for Neuropsychiatric Phenomics (6 of 8)

翻译研究的一个主要障碍是跨越多个层次的假设的形成。 生物医学研究对于复杂的神经精神障碍尤其如此， 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是 为了取得实质性的进展。我们建议开发一个软件平台， 假设网络，允许复杂的科学假设的合作制定。它代表了一 一种新的方法来构思和检验科学假设，其中：（1）假设是 协作的焦点;（2）文献、数据和注释组织在可用的界面中;（3） 翻译研究小组合作开发了一个网站的假设，其中包括 累积的证据;（4）跨越多个水平的假设表示为分层图;（5） 假设可以用元分析等工具进行分析检查;（6）由此产生的假设网站可以 共享、模块化和发布。 我们建议开发这个平台，作为现有基于Web的开源系统的扩展。 协作、数据管理、建模和在线科学文献的访问。特别是：类似wiki的 增强平台，以协同完善假设。假设网络代表了 假设可视化为标识相关概念和关联的标记图模型。这 图形方法允许可视化指定不同种类的假设模型，包括途径 图表、测量模型和结构方程模型。然后可以在2D中表示图形 我们称之为假设地图的地图显示。我们对假设网络的设计建立在 在我们的P20计划资助（P20 RR 020750）下开发的许多表型分析结果。系统 将用于记录联合体项目开发的假设。它将被开发为 现有的开放源代码系统，并免费提供，因为它在这个项目的持续时间演变。 我们还建议开发一个平台，用于制作一个表型图谱，使用假设网络作为一个 基础，但扩展了基于知识的探索能力。从概念上讲， 假设网络可以捆绑在一起，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Consortium合作 研究计划我们将构建表型酶。

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.