The emergence of biological coding theory as a mathematical framework for modeling, monitoring, and modulating biomolecular systems

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

In this work we will discuss the implications of understanding hybridization using the mathematical framework of error control coding theory and how this requires not only the use of information theoretic analysis tools, but compels us to view and model biomolecular systems as information transmission and processing systems. Using the genetic communication theory paradigm, we investigate coding theory algorithms for in silico categorization of single nucleotide polymorphisms based on the calculation of syndromes [1]. We explore the use of coding theory frameworks in the design of in vitro computational biosensors [2] and design of error correcting biosensors [3] for monitoring biomolecular systems. We conclude by briefly investigating the necessity of biological coding theory in the emerging field of synthetic biology [4] where incorporation of error control codes into synthetic DNA, an established area of research in the field of DNA computing [5], is becoming an area of growing interest in order to increase the robustness of engineered biomolecular systems.

Original languageEnglish (US)
Title of host publicationProceedings - 43rd Annual Conference on Information Sciences and Systems, CISS 2009
Pages865-869
Number of pages5
DOIs
StatePublished - Oct 16 2009
Event43rd Annual Conference on Information Sciences and Systems, CISS 2009 - Baltimore, MD, United States
Duration: Mar 18 2009Mar 20 2009

Other

Other43rd Annual Conference on Information Sciences and Systems, CISS 2009
CountryUnited States
CityBaltimore, MD
Period3/18/093/20/09

ASJC Scopus subject areas

  • Computer Science Applications
  • Information Systems

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