Publication Date

Fall 2022

Degree Type

Master's Project

Degree Name

Master of Science in Bioinformatics (MSBI)

Department

Computer Science

First Advisor

Wendy Lee

Keywords

LIMS, Marker Assisted Selection, Genotyping

Abstract

Climate change and feeding the growing human population are two tightly intertwined problems we face now. Innovations across several agricultural sectors are needed to meet these challenges as we proceed into the future. Seed companies and plant breeders are at the forefront of producing new plant varieties that must survive under the unique stresses of extreme weather patterns caused by changing climates. This project aims to provide breeders with faster marker results by streamlining the data process of marker-assisted selection (MAS). Manually managing genotyping data in MAS can take several hours or days to compile results for breeders. Although some solutions have been deploying laboratory information management systems (LIMS), they are often excessive, expensive, and add more steps to workflows in MAS labs. MASLGenerator and SPLi4MKGTR are two programs created in this project as an alternative to commercial LIMS systems. These tools facilitate and increase the rate of data generation for MAS. Keywords –

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