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7th International Workshop on Signal Design and Its Applications in Communications (IWSDA)

作者： Limbachiya, Dixita Dhameliya, Vijay Khakhar, Madhav Gupta, Manish K. Dhirubhai Ambani Inst Informat & Commun Technol Gandhinagar 382007 Gujarat India

ISBN: (纸本)9781467383080

DNA based storage systems received attention by many researchers in the last few years. 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 the DNA sequences using non-linear family of ternary codes. In particular, we propose an algorithm to encode data into DNA with high information storage density for archival storage using the sub-code of the Golay code. Theoretically, 115 exabytes (EB) data can be stored in one gram of DNA using our method.

关键词： DNA storage Golay codes Non-linear ternary codes biological coding theory Error-correcting codes Natural data storage DNA based storage systems

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Bits and bases: An analysis of genetic information paradigms

Bits and bases: An analysis of genetic information paradigms

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41st Asilomar Conference on Signals, Systems and Computers

作者： May, Elebeoba E. Sandia Natl Labs Discrete Math & Complex Syst Dept Albuquerque NM 87185 USA

ISBN: (纸本)9781424421091

The objective of this work is to form a general understanding of biological communication mechanisms by applying Shannon information theory and coding theory concepts to study the complex system of information transmission in biological organisms. We assess the viability of a biological coding theory framework by exploring coding theoretic characteristics of the genetic system that parallel traditional communication systems. We present results of channel capacity studies for prokaryotic and eukaryotic replication processes and explore connections between capacity and cellular aging.

关键词： biological coding theory genetic information channel capacity mutation

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An error-correcting code framework for genetic sequence analysis

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JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS 2004年第1-2期341卷 89-109页

作者： May, EE Vouk, MA Bitzer, DL Rosnick, DI Sandia Natl Labs Computat Biol Dept Albuquerque NM 87185 USA N Carolina State Univ Dept Comp Sci Raleigh NC 27695 USA

A fundamental challenge for engineering communication systems is the problem of transmitting information from the source to the receiver over a noisy channel. This same problem exists in a biological system. How can information required for the proper functioning of a cell, an organism, or a species be transmitted in an error introducing environment? Source codes (compression codes) and channel codes (error-correcting codes) address this problem in engineering communication systems. The ability to extend these information theory concepts to study information transmission in biological systems can contribute to the general understanding of biological communication mechanisms and extend the field of coding theory into the biological domain. In this work, we review and compare existing coding theoretic methods for modeling genetic systems. We introduce a new error-correcting code framework for understanding translation initiation, at the cellular level and present research results for Escherichia coli K-12. By studying translation initiation, we hope to gain insight into potential error-correcting aspects of genomic sequences and systems. Published by Elsevier Ltd. on behalf of The Franklin Institute.

关键词： coding theory translation initiation information theory biological coding theory error correcting codes

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An error-correcting code framework for genetic sequence analysis

An error-correcting code framework for genetic sequence anal...

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Workshop on Genomics, Signal Processing and Statistics (GENSIPS)

作者： May, EE Vouk, MA Bitzer, DL Rosnick, DI Sandia Natl Labs Computat Biol Dept Albuquerque NM 87185 USA N Carolina State Univ Dept Comp Sci Raleigh NC 27695 USA

关键词： coding theory translation initiation information theory biological coding theory error correcting codes

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