DNA sequencing technologies keep getting faster and cheaper leading to massive availability of entire human genomes. This massive availability calls for better analysis tools with a potential to realize a shift from reactive to predictive medicine. The challenge remains, since the entire human genomes need more space and processing power than that can be offered by a standard Desktop PC for their analysis. A background of key concepts surrounding the area of DNA analysis is given and a review of selected prominent algorithms used in this area. The significance of this paper would be to survey the concepts surrounding DNA analysis so as to provide a deep rooted understanding and knowledge transfer regarding existing approaches for DNA analysis using Burrows-Wheeler transform, Wavelet tree and their respective strengths and weaknesses. Consequent to this survey, the paper attempts to provide some directions for future research.
|Number of pages
|Advances in Computer Science: an International Journal
|Published - 2015