Abstract
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.
| Original language | English |
|---|---|
| Pages (from-to) | 41-49 |
| Number of pages | 9 |
| Journal | Advances in Computer Science: an International Journal |
| Volume | 4 |
| Issue number | 5 |
| Publication status | Published - 2015 |
