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Algorithmic Bioprocesses

  • Book
  • © 2009

Overview

  • A fundamental understanding of algorithmic bioprocesses is key to learning how information processing occurs in nature at the cell level, and this is the first book to examine this subject comprehensively
  • Includes supplementary material: sn.pub/extras

Part of the book series: Natural Computing Series (NCS)

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Table of contents (36 chapters)

  1. Tribute

  2. Sequence Discovery, Generation, and Analysis

  3. Sequence Discovery, Generation, and Analysis

  4. Gene Assembly in Ciliates

  5. Nanoconstructions and Self-assembly

  6. Membrane Computing

Keywords

About this book

A fundamental understanding of algorithmic bioprocesses is key to learning how information processing occurs in nature at the cell level. The field is concerned with the interactions between computer science on the one hand and biology, chemistry, and DNA-oriented nanoscience on the other. In particular, this book offers a comprehensive overview of research into algorithmic self-assembly, RNA folding, the algorithmic foundations for biochemical reactions, and the algorithmic nature of developmental processes.

The editors of the book invited 36 chapters, written by the leading researchers in this area, and their contributions include detailed tutorials on the main topics, surveys of the state of the art in research, experimental results, and discussions of specific research goals. The main subjects addressed are sequence discovery, generation, and analysis; nanoconstructions and self-assembly; membrane computing; formal models and analysis; process calculi and automata; biochemical reactions; and other topics from natural computing, including molecular evolution, regulation of gene expression, light-based computing, cellular automata, realistic modelling of biological systems, and evolutionary computing.

This subject is inherently interdisciplinary, and this book will be of value to researchers in computer science and biology who study the impact of the exciting mutual interaction between our understanding of bioprocesses and our understanding of computation.

Reviews

"In a real sense, this book answers the question, 'What is the cutting edge of research connecting computer science with the biological sciences?' ... [I]ts breadth of content is impressive, and its combination of advanced tutorials with ambitious new proposals is scientifically exciting. ... [The book] will best serve TCS researchers who are looking for new questions to ask, and for new areas in which to apply their skills." (Aaron Sterling, The Book Review Column 43-3, 2012)

Editors and Affiliations

  • Dept. Computer Science, University of British Columbia, Vancouver, Canada

    Anne Condon

  • Dept. Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel

    David Harel

  • Leiden Inst. Advanced Computer Science, Leiden University, Leiden, Netherlands

    Joost N. Kok

  • Turku Centre for Computer Science, Turku, Finland

    Arto Salomaa

  • Computer Science, Computation,, California Inst. of Technology, Pasadena, U.S.A.

    Erik Winfree

About the editors

The editors and contributors include most of the key researchers working on these topics worldwide.

Bibliographic Information

  • Book Title: Algorithmic Bioprocesses

  • Editors: Anne Condon, David Harel, Joost N. Kok, Arto Salomaa, Erik Winfree

  • Series Title: Natural Computing Series

  • DOI: https://doi.org/10.1007/978-3-540-88869-7

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: Springer-Verlag Berlin Heidelberg 2009

  • Hardcover ISBN: 978-3-540-88868-0Published: 02 September 2009

  • Softcover ISBN: 978-3-642-26015-5Published: 14 March 2012

  • eBook ISBN: 978-3-540-88869-7Published: 14 August 2009

  • Series ISSN: 1619-7127

  • Series E-ISSN: 2627-6461

  • Edition Number: 1

  • Number of Pages: XX, 742

  • Number of Illustrations: 138 b/w illustrations, 109 illustrations in colour

  • Topics: Theory of Computation, Cell Biology, Computational Biology/Bioinformatics, Nanotechnology

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