Abstract
Current DNA compression algorithms rely on finding repetitions within the DNA sequence so that similar subsequences can be encoded by referencing to each other. We explore similarities between different chromosomes of the sequence ‘Saccharomyces cerevisiae’. These similarities are characterised by the existence of similar subsequences among different chromosomes. The longer the similar subsequences are, the higher the cross-similarities are. Our study indicates that these cross-sequence similarities are often significant as compared to self-sequence similarity. This implies that it would be advantageous to compress two or more chromosome sequences together so that similar subsequences found between multiple chromosome sequences can be encoded together.
| Original language | English |
|---|---|
| Pages (from-to) | 437-454 |
| Number of pages | 18 |
| Journal | International Journal of Computer Aided Engineering and Technology |
| Volume | 1 |
| Issue number | 4 |
| DOIs | |
| Publication status | Published - 1 Jan 2009 |
Keywords
- chromosome
- compression
- computer aided engineering
- cross chromosomal similarities
- deoxyribonucleic acid sequence
- DNA sequence
- multiple chromosome
- multiple DNA sequences
- prediction
- Saccharomyces cerevisiae
- technology
ASJC Scopus subject areas
- Software
- Engineering(all)
- Computer Science Applications