On Optimal Family of Codes for Archival DNA Storage
Limbachiya, Dixita · Dhameliya, Vijay · Khakhar, Madhav · Gupta, Manish K
Original · EN
DNA based storage systems received attention by many researchers. This includes archival and re-writable random access DNA based storage systems. In this work, we have developed an efficient technique to encode the data into DNA sequence by using non-linear families of ternary codes. In particular, we proposes an algorithm to encode data into DNA with high information storage density and better error correction using a sub code of Golay code. Theoretically, 115 exabytes (EB) data can be stored in one gram of DNA by our method.
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