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).