On Optimal Family of Codes for DNA Storage

Advancement in the technology has generated immense data which has become a burning issue for data storage experts. To accommodate the data and cope up with demand, computer scientist are striving to produce the improved, dense and reliable data storage medium. The main challenge for the development of optimum data storage medium is enhancement in storage capacity, reliability and security. Various applications of DNA in computing technologies and its dense, stable, reliable nature enticed the researcher to use DNA as storage medium. The idea of using DNA as storage medium has many success stories but the main challenges to deal with are error correction and cost associated with the DNA sequencing and synthesis. In this work, we have developed an efficient technique to encode the data into DNA by using nonlinear family of ternary codes. This gives us significant reduction in file size for storing data on DNA from previous developed methods. Using our method one can store 1.15 ExaBytes (EB) of information in one gram of DNA.