Abstract: Recently, Genome research focuses on sequencing novel genomes in sequencing technology. The cost to scalable storage, analyze and transmit the data is provide crucial challenge for genome sequencing in bio-medical application. So, it is very much essential to design efficient data compression techniques for biological sequencing data. The genome sequencing is foremost a claim to deal with the huge generated data. In this study, we proposed a Referential Compression with Symmetric Cryptographic Scheme (RCSCS) for dealing with both the issues storage demands and security. RCSCS reduces the storage demands of genome sequences with security and exploits the similarity between the genome sequences of the evolutionary species. RCSCS stores the compressed file which has differences between compressed and an identified reference sequence. It gives high compression rates than existing schemes. The proposed scheme reducing running time that allows partial decompression of the target genome in local regions of interest. The results show that our algorithm reduces the 3000 (MB) genome down to 6.87 MB for genome data with hg18 and 19 as a reference.
E. Wiselin Kiruba and K. Ramar, 2016. Enhancing Security for Gnome Data Using Referential Compression with Symmetric Cryptography Scheme. Asian Journal of Information Technology, 15: 3449-3454.