An Algorithm to Quantitatively Predict Feature-Based Equivalence Between Mouse Inbred Strain Genomes
Joel Richardson and Richard Baldarelli
Due to its rapid reproductive cycle, short life span and and genetic and physiological similarity to humans, the mouse has become a useful model organism in the study of human disease. (Spencer, 2002.) As a result, scientists study various inbred strains of mice, with each strain having different traits and characteristics, such as eye color or disease susceptibility. For example, the C57BL/6J mouse strain is more susceptible to atherosclerosis but less susceptible to lung cancer than the A/J strain (Paigen, 1990.) Complementing the study of mouse strain characteristics, researchers have historically studied mouse gene function by mutating individual genes and observing the phenotypic consequences of these mutations. However, the understanding of the mouse's genetic composition was limited to only pieces of the genome.
Asabor, Rex, "An Algorithm to Quantitatively Predict Feature-Based Equivalence Between Mouse Inbred Strain Genomes" (2018). Summer and Academic Year Student Reports. 2598.