Gs4pb: a comprehensive r shiny application for plant genomic selection pipelines
GS4PB is an in-market R Shiny web application developed by the University of Minnesota that streamlines the entire genomic selection process for plant breeding. It supports data processing, model validation, and prediction, making advanced genomic tools accessible to breeders.
Overview
GS4PB is an R Shiny-based web application designed to facilitate a complete genomic selection pipeline tailored for plant breeding programs. It enables users to perform genotypic data processing, merge with phenotypic and enviromic data, estimate environmental kinship, optimize training sets, and validate models through cross-validation techniques. Its user-friendly interface simplifies complex genomic prediction tasks, allowing breeders to implement advanced genomic tools without extensive bioinformatics expertise.
Technical specifications
Key features include data management for genotypic, phenotypic, and environmental data, environmental kinship estimation, training set optimization, and model validation through cross-validation. The application supports genomic prediction implementation, making it a comprehensive solution for breeders seeking to accelerate genetic gains. It is accessible via a web interface, eliminating the need for command-line proficiency, and is designed for seamless integration into existing breeding workflows.
Technology readiness level
This application is actively in the market, indicating it has been validated and is ready for deployment in real-world breeding programs, supporting research and practical breeding decisions.
About University of Minnesota
The University of Minnesota is a multi‑campus public research university anchored in Minneapolis–St. Paul, combining statewide reach with a portfolio that spans fundamental discovery to real‑world application. Industry engages through shared core facilities, cleanrooms, pilot plants, and prototyping shops, plus contract research backed by experienced sponsored‑programs staff. Integration with a major hospital system enables clinical translation, while an extensive extension network and field stations support testing and deployment statewide. Research is supported by competitive federal funding from agencies such as NIH, NSF, DOE, USDA, and DoD. A dedicated technology transfer office manages IP, licensing, startup incubation, and corporate agreements, offering clear paths from collaboration to commercialization.
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