Performance of DNA data embedding algorithms under substitution mutations

Title: Performance of DNA data embedding algorithms under substitution mutations
Authors: Haughton, David
Balado, Félix
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Date: Dec-2010
Online since: 2011-01-17T12:57:51Z
Abstract: DNA data embedding is a relatively recent area which aims at embedding arbitrary information in deoxyribonucleic acid (DNA) strands. One interesting application of DNA data embedding can be tracing pathways of genetic material in novel ways. This paper explores the decoding performance of several DNA data embedding algorithms proposed in the literature, which are also briefly reviewed. DNA may undergo random mutations, which can cause errors at the decoding stage of such algorithms. Although some proposed methods do account for such errors, decoding performance under mutations has not been previously studied in general. The empirical performance comparison that we provide here allows to fairly compare a number of DNA data embedding algorithms under mutations for the first time. The evaluation is undertaken by means of Monte Carlo simulations. Additionally, we propose two new DNA data embedding algorithms with good robustness properties.
Funding Details: Science Foundation Ireland
Type of material: Conference Publication
Copyright (published version): 2010 IEEE
Keywords: DNA data embeddingDecoding performanceDNA watermarking
Subject LCSH: DNA
Data encryption (Computer science)
Digital watermarking
Language: en
Status of Item: Peer reviewed
Conference Details: IEEE International Conference on Bioinformatics and Biomedicine (BIBM2010), 18-21 December, 2010, Hong Kong
Appears in Collections:Computer Science Research Collection

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