This paper suggests a message encoding scheme for small text files in nucleotide strands for ultra high data density storage in DNA. The proposed scheme leads to high volume data density and depends on adoption of sequence transformation algorithms. Compression of small text files must fulfill special requirement since they have small context. The use of transformation algorithm generates better context information for compression with Huffman encoding. We tested the suggested scheme on collection of small text size files. The testing result showed the proposed scheme reduced the number of nucleotides for representing text message over existing method and realization of high data density storage in DNA.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.