Multi-scale, multi-organ, multi-species SPARC map management

NIH-MAP-CORE摘要/摘要 该项目的目的是提供可视化数据和模型的工具，这些数据和模型是由刺激外周活动以缓解条件（Stimulating Peripheral Activity to Relieve Conditions）联盟生成的，该联盟正在生成与自主神经系统相关的数据和模型。通过绘制这些神经在整个身体中的路径并了解它们在控制器官功能中的作用，NIH资助的项目将有助于为医疗器械公司提供开发新刺激器的手段，这些刺激器可以调节器官功能，以改善生理功能，从而缓解医疗状况。 MAP-CORE是联合国开发计划署数据和资源中心的三个组成部分之一。DAT- CORE将管理由社区生成的实际数据。MAP-CORE将把多种类型的数据（也来自多个物种）整合成一个有凝聚力的整体，并以一种对生物科学界和医疗器械公司都有用的方式组织和显示它。 SIM-CORE将开发一个框架，包括模拟工具，以连接神经和其他生理活动的数学模型的基础上，神经网络数据。 MAP-CORE将确保适当的社区标准，如CellML，SBML，FieldML和SED-ML，用于编码和注释数据，模型和模拟，以确保可重复性，并帮助确保所有数据和模型都得到适当的注释，使社区可以在DAT-CORE数据库中找到和访问它们。MAP-CORE将使用ApiNATOMY为生物背景提供注释，并为实现质量守恒和能量守恒等生物物理概念提供框架。将开发一个基于Web 2.0和后续标准的门户网站，将所有器官系统的解剖学和多尺度生理学引入一个单一的数据库驱动的用户界面。用户将能够检查所有尺度的数据和模型，并生成预测性多尺度模型（使用SIM-CORE工具解决），以回答与内脏器官自主控制相关的特定问题。

Summary/Abstract for NIH-SPARC MAP-CORE The aim of this project is to provide tools for visualising data and models generated by the SPARC (Stimulating Peripheral Activity to Relieve Conditions) consortium, which is generating data and models associated with the autonomic nervous system. By mapping the paths of these nerves throughout the body and understanding their role in controlling organ function, the NIH funded program will help provide the means for medical device companies to develop new stimulators that can modulate organ function in order to improve physiological function and hence relieve a medical condition. The MAP-CORE is one of three components of the Data and Resource Centre (DRC) for SPARC. DAT- CORE will manage the actual data generated by the SPARC community. MAP-CORE will integrate the multiple types of data (also from multiple species) into a cohesive whole, and organise and display it in a way that is useful to both the SPARC science community and the medical device companies. SIM-CORE will develop a framework, including simulation tools, to connect mathematical models of neural and other physiological activity based on the SPARC data. The MAP-CORE will ensure that suitable community standards such as CellML, SBML, FieldML and SED-ML are used (and if necessary, further developed) for encoding and annotating the data, models and simulations to ensure reproducibility, and to help ensure that all data and models are appropriately annotated to make them findable and accessible by the community in the DAT-CORE database. MAP-CORE will use ApiNATOMY to provide annotations for biological context and a framework for implementing biophysical concepts such as conservation of mass and conservation of energy. A portal, based on web 2.0 and subsequent standards, will be developed that brings the anatomy and multiscale physiology of all organ systems into a single database-driven user interface. The user will be able to examine data and models at all scales and to generate predictive multiscale models (solved with the SIM-CORE tools) to answer specific questions associated with the autonomic control of the visceral organs.