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Capacity of DNA Data Embedding Under Substitution Mutations
Author(s)
Date Issued
2013-02
Date Available
2012-12-19T15:30:21Z
Abstract
A number of methods have been proposed over the
last decade for encoding information using deoxyribonucleic acid
(DNA), giving rise to the emerging area of DNA data embedding.
Since a DNA sequence is conceptually equivalent to a sequence
of quaternary symbols (bases), DNA data embedding (diversely
called DNA watermarking or DNA steganography) can be seen
as a digital communications problem where channel errors are
analogous to mutations of DNA bases. Depending on the use of
coding or noncoding DNA host sequences, which respectively
denote DNA segments that can or cannot be translated into
proteins, DNA data embedding is essentially a problem of
communications with or without side information at the encoder.
In this paper the Shannon capacity of DNA data embedding
is obtained for the case in which DNA sequences are subject
to substitution mutations modelled using the Kimura model
from molecular evolution studies. Inferences are also drawn
with respect to the biological implications of some of the results
presented.
last decade for encoding information using deoxyribonucleic acid
(DNA), giving rise to the emerging area of DNA data embedding.
Since a DNA sequence is conceptually equivalent to a sequence
of quaternary symbols (bases), DNA data embedding (diversely
called DNA watermarking or DNA steganography) can be seen
as a digital communications problem where channel errors are
analogous to mutations of DNA bases. Depending on the use of
coding or noncoding DNA host sequences, which respectively
denote DNA segments that can or cannot be translated into
proteins, DNA data embedding is essentially a problem of
communications with or without side information at the encoder.
In this paper the Shannon capacity of DNA data embedding
is obtained for the case in which DNA sequences are subject
to substitution mutations modelled using the Kimura model
from molecular evolution studies. Inferences are also drawn
with respect to the biological implications of some of the results
presented.
Sponsorship
Science Foundation Ireland
Other Sponsorship
SFI Research Frontiers
Type of Material
Journal Article
Publisher
IEEE
Journal
IEEE Transactions on Information Theory
Volume
59
Issue
2
Start Page
928
End Page
941
Copyright (Published Version)
2012 IEEE
Language
English
Status of Item
Peer reviewed
This item is made available under a Creative Commons License
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