Fact: Enabling Association Mapping And Landscape Genomics Through The Advanced Integration Of Genotype, Phenotype, And Geospatial Data

The objective of this proposal is to develop CartograTree, the first web-based application that integrates genotype-phenotype metadata and raw data for georeferenced individuals from model and non-model systems. The software will provide an interactive geospatial interface and access to high performance computing for real-time analysis of important biological questions. This framework will be implemented for tree databases but also developed as an independent Tripal module, CartograPlant. Goal 1: Leverage Tripal3 enabled databases to build a FAIR model for data submission, storage, and validation across genotype, phenotype, and environmental data that can be applied broadly to plants Goal 2: Enable a Web-based association and landscape genetics workflows that can interpret heterogeneous input data and provide a robust data filtering, visualization, and analytic framework via the TripalGalaxy Goal 3: Integrate diverse environmental layers to provide rapid access to high resolution data for georeferenced individuals that can be directly assessed for landscape genomics Goal 4: Train and educate researchers in landscape genomics via TreeSnap and CartograTree as well as Tripal plant database providers with CartograPlant.

Scholars @ ECU