A real-time searching and sequencing assembly Platform based on an fpga implementation for Bioinformatics applications

Abstract

DNA database is increasing day by day. The DNA sequence comparison is used for classification of species, finding heredity and disease detection. This similarity search for identifying similarities between subsequences of strings is called as sequence alignment. Gene sequence alignment is a tough task in bioinformatics due to huge data and high searching time. Researchers have used various bioinformatics algorithms for sequencing, but it takes an enormous amount of time for computations. The bloom filter which is commonly used for searching in Intrusion Detection System (IDS) is proposed with FPGA to overcome the space and time complexity problems in bioinformatics FPGAs have high-performance computing accelerators and their reprogramming ability allows different algorithms to be implemented using the same hardware. For realizing the biological mysteries to meet the necessary requirements such as time, memory and speed, an efficient searching method has been used and compared with FPGA.