Sbvrldnacomp:an Effective Dna Sequence Compression Algorithm

There are plenty specific types of data which are needed to compress for easy storage and to reduce overall retrieval times. Moreover, compressed sequence can be used to understand similarities between biological sequences. DNA data compression challenge has become a major task for many researchers for the last few years as a result of exponential increase of produced sequences in gene databases. In this research paper we have attempt to develop an algorithm by self-reference bases; namely Single Base Variable Repeat Length DNA Compression (SBVRLDNAComp). There are a number of reference based compression methods but they are not satisfactory for forthcoming new species. SBVRLDNAComp is an optimal solution of the result obtained from small to long, uniform identical and non-identical string of nucleotides checked in four different ways. Both exact repetitive and non-repetitive bases are compressed by SBVRLDNAComp. The sound part of it is without any reference database SBVRLDNAComp achieves 1.70 to 1.73 compression ratio α after testing on ten benchmark DNA sequences. The compressed file can be further compressed with standard tools (such as WinZip or WinRar) but even without this SBVRLDNAComp outperforms many standard DNA compression algorithms.