Stanford MoTrPAC Bioinformatics Center

摘要 很少有干预措施被证明是有益于人类健康的身体活动，但我们仍然 他们基本上不知道这些潜在的健康影响是如何传递的。分子 身体活动联盟的传感器检查了对急性和慢性运动的反应， 在数千人和动物模型中的多个尺度和多个组织中。MoTrPAC组合 用分子多组学方法进行多尺度表型分析。基于我们长期的分析历史 高通量生物学和计算创新的创新，斯坦福大学MoTrPAC生物信息学 中心将为联盟提供计算，生物信息学和分析专业知识。利用 通过云架构实现的可扩展性和可再现性方法，我们为 共享和分析多组织、多组学、生理学和基于传感器的测量数据。目标1是 专注于推进我们基于云的原始数据和处理数据的数据仓库。我们将通过以下方式实现这一目标： 扩展工作，使数据访问和数据处理，推进数据管理和可扩展的搜索。 目标2实现了现有的组学管道，并为人类多组学数据开发了新的管道。 此外，我们扩展了多尺度，高通量的数据分析方法，从人类和动物 问题研究我们将扩展基于FAIR原则构建的强大数据分析管道和代码存储库。 此外，我们将继续整合数据集成和新颖的可视化方法。目标3扩展 并扩展了我们的互动界面，供调查人员和公众进行询问、互动、探索和 下载MoTrPAC数据。此外，将MoTrPAC数据存放到持久的公共存储库， 和分析包，以及BIC开发的关于 代表联合体将扩大联合体工作的效用和利用， 体育活动的科学。凭借已具备的专业知识、经验、基础设施和工具， 斯坦福大学MoTrPAC生物信息学中心处于有利地位，可以实现MoTrPAC的愿景，从数据 从收集、处理和分析到探索和传播。

Abstract Few interventions have been shown to be as beneficial to human health as physical activity, yet we remain largely ignorant of the mechanisms by which these potent health effects are transduced. The Molecular Transducers of Physical Activity Consortium examines the response to acute and chronic exercise at multiple scales and in multiple tissues across thousands of humans and in animal models. MoTrPAC combines multi-scale phenotyping with molecular multi-omics approaches. Building on our long history of analytical innovation in high throughput biology and computational innovation, the Stanford MoTrPAC Bioinformatics Center will provide computational, bioinformatic and analytic expertise to the Consortium. Leveraging scalability and reproducibility approaches enabled by cloud architecture, we provide a robust platform for the sharing and analysis of multi-tissue, multi-omic, physiological and sensor based measurement data. Aim 1 is focused on advancing our cloud-based data warehouse for raw and processed data. We will achieve this by extending work enabling data access and data processing, advancing data management and scalable search. Aim 2 implements existing omics pipelines and the development of new pipelines for human multi-omic data. In addition, we extend analytic approaches for multi-scale, high-throughput data from human and animal studies. We will expand robust data analysis pipelines and code repositories built with FAIR principles in mind. In addition, we will continue incorporating data integration and novel visualization approaches. Aim 3 expands and extends our interactive interface for investigators and the public to interrogate, interact with, explore, and download MoTrPAC data. In addition, deposition of MoTrPAC data to durable, public repositories and of code and analysis packages to public collaboratories, together with dissemination activities developed by the BIC on behalf of the Consortium will extend the utility and utilization of the work of the Consortium to advance the science of physical activity. With the expertise, experience, infrastructure and tools already in place, the Stanford MoTrPAC Bioinformatics Center is well-positioned to deliver on the vision of MoTrPAC, from data collection, processing and analysis to exploration and dissemination.