This project is about facilitating enhanced breeding and understanding of ways to accelerate the improvement of soybean to meet current and future needs. Our approach is to leverage the vast amount of genomic data being produced for soybean by developing strategies and easy to use bioinformatics tools to link key characteristics to the genes that control them. We have made considerable progress in generating those strategies and tools, making them accessible to researchers, publishing research articles, conducting outreach through presentations and workshops, and including user-feedback in updating the system as well as undertaking new objectives. Within this project, we accomplished all the proposed objectives. We upgraded our existing tools, built new tools (Allele Catalog, GenVarX, AccuTool, MaDis), we hosted webinars and workshops, we created a GWAS to Genes SoyHub platform for soybean breeders and we began utilizing a feedback loop with the users for additional improvement and identification of new targets.