Bioinformatics Commons^™

Mmappr2: An Improved Bioinformatics Approach To Find Novel Genes, Aiden Cardall, Jonathon T. Hill, Kyle Johnsen, Connor Ward, Maliha Tasnim, Jared Taylor

Library/Life Sciences Undergraduate Poster Competition 2024

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.

Determining The Role Of Noncoding Insertion And Deletion Mutations In Lung Cancer, Zachary Everton, Matthew H. Bailey

Library/Life Sciences Undergraduate Poster Competition 2024

Background

● Cancer is a disease in which cells grow and divide at an uncontrolled rate and cause damage to surrounding tissue and is caused by mutations in the cells’ DNA.

● Though some cancer-causing mutations are inherited from parents, most cancer-causing mutations emerge over the course of a person’s life and are localized to the tumor. These localized mutations are also known as somatic mutations.

● The human genome is over 6.27 billion base pairs long and cannot be read from end to end; instead it is read in small pieces that are aligned to best-matching sequences in the …