Reference based inter chromosomal similarity based DNA sequence compression algorithm
Kakoli Banerjee, Rohan Prasad · 2017
The size of the Genetic data base is increasing incessantly. Hence the difficultyhas increased not only in storing and managing such huge database but also in extracting information from such gigantic databases. This brings in the need of genetic data compression. Standard compression algorithms fail to compress genetic data. Hence, we require special algorithms for compressing genetic databases. In this paper, we propose a new genetic compression algorithm which is going to explore inter chromosomal similarities and yield positive compression. This study will not only improve the compression of genetic sequences but will also help in studying the level of similarity between two different chromosomes of the same genome.