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Published August 2017 | Submitted
Journal Article Open

Duplication-Correcting Codes for Data Storage in the DNA of Living Organisms

Abstract

The ability to store data in the DNA of a living organism has applications in a variety of areas including synthetic biology and watermarking of patented genetically-modified organisms. Data stored in this medium is subject to errors arising from various mutations, such as point mutations, indels, and tandem duplication, which need to be corrected to maintain data integrity. In this paper, we provide error-correcting codes for errors caused by tandem duplications, which create a copy of a block of the sequence and insert it in a tandem manner, i.e., next to the original. In particular, we present two families of codes for correcting errors due to tandem duplications of a fixed length; the first family can correct any number of errors while the second corrects a bounded number of errors. We also study codes for correcting tandem duplications of length up to a given constant k , where we are primarily focused on the cases of k=2,3 . Finally, we provide a full classification of the sets of lengths allowed in tandem duplication that result in a unique root for all sequences.

Additional Information

© 2017 IEEE. Manuscript received June 1, 2016; revised December 9, 2016; accepted March 13, 2017. Date of publication March 28, 2017; date of current version July 12, 2017. This work was supported by the NSF Expeditions in Computing Program (The Molecular Programming Project). This paper was presented at the 2016 IEEE International Symposium on Information Theory.

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August 19, 2023
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