Optimize Genomics Data Compression with Hardware Accelerator

Genomics is a Big Data science, the rate of increase in DNA sequencing is significantly exceeding the rate of increase in storage capacity, study shows the genomics data generation will exceed Twitter, YouTube, and astrophysics data combined by the year 2025. Storage and data management have become one of the most challenging bottlenecks in genomics and life sciences research. Data compression is an important technique to improve the efficiency of genomics data analysis and storage, and is widely deployed in the IT infrastructure in the life science institutes. In this paper we analyze the data compression characterization in the genomics workflows, and evaluate the performance & cost for different compression algorithms in the genomics analysis tool, we present a new hardware acceleration method that efficiently compresses DNA sequences with the reduced computation time and CPU utilization.