Utilizing the Power of Graphical Processing for DNA Mapping: a Comparison of GNUMAP and BarraCUDA

Authors

Cole Lyman, Brigham Young University
Mark Clement, Brigham Young University

Keywords

graphical processing, DNA mapping, GNUMAP, BarraCUDA

College

Physical and Mathematical Sciences

Department

Computer Science

Abstract

Recent advances in genome sequencing technologies have resulted in a large increase in the amount of genetic data available. Large Genome Wide Association Studies (GWAS) have the potential to identify the causes of cancer, Alzheimer’s disease, heart failure and many other diseases if the large quantities of data that are becoming available can be analyzed effectively. Next-generation read mapping software, a crucial step in analyzing genetic data, is slow while trying to achieve high mapping accuracy. One approach to speeding up next-generation read mapping focuses on using Graphical Processing Units (GPUs). This project compared the effectiveness of two genome mappers, GNUMAP¹ and BarraCUDA², to measure the impact of GPUs on genome mapping.

Recommended Citation

Lyman, Cole and Clement, Mark (2017) "Utilizing the Power of Graphical Processing for DNA Mapping: a Comparison of GNUMAP and BarraCUDA," Journal of Undergraduate Research: Vol. 2017: Iss. 1, Article 295.
Available at: https://scholarsarchive.byu.edu/jur/vol2017/iss1/295