NDLI: Information theory and coding problems in genetics

Content Provider	IEEE Xplore Digital Library
Author	Milenkovic, O. Vasic, B.
Copyright Year	2004
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Colorado Univ., Boulder, CO, USA (Milenkovic, O.)
Abstract	The aim of this paper is to describe a new class of problems and some new results in coding theory arising from the analysis of the composition and functionality of the genetic code. The major goal of the proposed work is to initiate research on investigating possible connections between the regulatory network of gene interactions (RNGI) and the proofreading (error-control) mechanism of the processes of the central dogma of genetics. New results include establishing a direct relationship between Boolean network (BN) models of RNGI and Gallager's LDPC decoding algorithms. The proposed research topics and described results are expected to have a two-fold impact on coding theory and genetics research. Firstly, they may provide a different setting in which to analyze standard LDPC decoding algorithms, by using dynamical systems and Boolean function theory. Secondly, they may be of use in establishing deeper relationships between the DNA proofreading mechanism, RNGI, and their joint influence on the development and possible treatment of genetic diseases like cancer.
Starting Page	60
Ending Page	65
File Size	454254
Page Count	6
File Format	PDF
ISBN	0780387201
DOI	10.1109/ITW.2004.1405275
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-10-24
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Information theory Genetic communication Parity check codes Decoding Algorithm design and analysis Heuristic algorithms Boolean functions DNA Diseases Cancer
Content Type	Text
Resource Type	Article

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