Journal of Undergraduate Research


graphical processing, DNA mapping, GNUMAP, BarraCUDA


Physical and Mathematical Sciences


Computer Science


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.