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DNA Information: Laws of Perception

  • Book
  • © 2015

Overview

  • Offers a new approach to explaining DNA organization as a double-coding principle
  • Explores the relationships between the whole and the parts, as well as the complexity found in all living matter - from cells to social systems
  • A thought-provoking book that will appeal to researchers and scholars in the fields of molecular and evolutionary biology, genetics, bioinformatics and philosophy
  • Includes supplementary material: sn.pub/extras

Part of the book series: SpringerBriefs in Biochemistry and Molecular Biology (BRIEFSBIOCHEM)

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Table of contents (6 chapters)

Keywords

About this book

This book explores the double coding property of DNA, which is manifested in the digital and analog information types as two interdependent codes. This double coding principle can be applied to all living systems, from the level of the individual cell to entire social systems, seen as systems of communication. Further topics discussed include the ubiquitous problem of logical typing, which reflects our inherent incapacity to simultaneously perceive discontinuity and continuity, the problem of time, and the peculiarities of autopoietic living systems. It is shown that the scientific “truths” that appear to be coherent constructions connecting the scientifically verified observations by the rules of logic are in fact always relative and never absolute.

Authors and Affiliations

  • Jacobs University, School of Engineering & Science, Bremen, Germany

    Georgi Muskhelishvili

About the author

The author is Honorary Professor of Molecular Genetics at the Jacobs University Bremen. He is a holder of academic degrees in biology, biochemistry and genetics. Over the past thirty years he was investigating the mechanisms of genetic regulation in different model organisms from the three kingdoms of life - Eukarya, Archaea and Bacteria. By integrating the approaches of biochemistry, genetics, cell biology, bioinformatics and systems theory he developed a holistic methodology for comprehensive exploration of genetic communications in living systems.

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