A Unified High Performance Web Service for Systems Genetics and Precision Medicine

高通量技术通过对活生物体进行深度表型分析而改变了生物学。 遗传随机化群体中的深度表型分析为理解 因果关系-这是系统遗传学和精确医学的承诺。尽管取得了进展， 数据收集和遗传和基因组资源的可用性， 这些数据提出了计算和统计方面的挑战。基因网络项目的目标是 提供一个创新平台，充分利用系统遗传学的数据和计算工具。 拟议的项目将侧重于通过扩大社区来扩大网络服务的影响 参与网络服务和加强为网络服务提供动力的计算引擎。我们将 通过提供数据输入和管理的自动化工具来增强我们的数据库（目标1）;我们将改进工具 用于高通量性状的遗传分析（目标2）;实现动物之间的双向信息共享 模型和人类遗传学研究（目标3）;并提供一个平台， 计算社区（目标4）。

High-throughput technologies have transformed biology by enabling deep phenotyping of living organisms. Deep phenotyping in genetically randomized populations provides a powerful resource for understanding cause and effect – this is the promise of systems genetics and precision medicine. Despite the advances in data collection and the availability of genetic and genomic resources, generation of actionable knowledge from these data presents computational and statistical challenges. The goal of the GeneNetwork project is to provide a platform of innovation to make the best use of the data and computational tools for systems genetics. The proposed project will focus on broadening the impact of the web service by broadening community participation in the web service and strengthening computational engine powering the web service. We will enhance our database by providing automated tools for data entry and curation (Aim 1); we will improve tools for genetic analysis of high-throughput traits (Aim 2); enable bidirectional information sharing between animal model and human genetic studies (Aim 3); and provide a platform for toolset prototying and testing by the computational community (Aim 4).