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Keywords
Bioinformatics, genetics, genomics, computation
Abstract
Introduction
• New genes are commonly found by randomly inducing mutations in model organisms.
• Mapping the mutations to the genome to find novel genes is difficult, time-consuming, and expensive.
• We created a bioinformatics program, MMAPPR, to automate this process.
• Here, we introduce a new algorithm, MMAPPR2, which requires little to no bioinformatics knowledge to use.
• MMAPPR2 makes several improvements that allow it to identify genes more rapidly and precisely.
• MMAPPR2 will aid the rapid identification of genes in a wide range of species and developmental systems.
BYU ScholarsArchive Citation
Cardall, Aiden; Hill, Jonathon T.; Johnsen, Kyle; Ward, Connor; Tasnim, Maliha; and Taylor, Jared, "MMAPPR2: An improved bioinformatics approach to find novel genes" (2024). Library/Life Sciences Undergraduate Poster Competition 2024. 25.
https://scholarsarchive.byu.edu/library_studentposters_2024/25
Document Type
Poster
Publication Date
2024-03-21
Language
English
College
Life Sciences
Department
Cell Biology and Physiology
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