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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.

Document Type

Poster

Publication Date

2024-03-21

Language

English

College

Life Sciences

Department

Cell Biology and Physiology

University Standing at Time of Publication

Senior

MMAPPR2: An improved bioinformatics approach to find novel genes

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