Overview
- Well structured collection of Information Processing and Biological Systems
- Overview on the state-of-art on how information processing relates to biological systems organized in a handbook style
- Written by leading experts in this field
Part of the book series: Intelligent Systems Reference Library (ISRL, volume 11)
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About this book
Living beings require constant information processing for survival. In cells, information is being processed and propagated at various levels, from the gene regulatory network to chemical pathways, to the interaction with the environment. How this is achieved and how information is coded is still poorly understood. For example, what a cell interprets as information in the temporal level of an mRNA and what is interpreted as noise remains an open question. Recently, information theoretical methods and other tools, developed in the context of engineering and natural sciences, have been applied to study diverse biological processes. This book covers the latest findings on how information is processed in various biological processes, ranging from information processing and propagation in gene regulatory networks to information processing in natural language. An overview is presented of the state-of-the-art in information processing in biological systems and the opinion of current leaders in this research field on future research directions.
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Keywords
Table of contents (10 chapters)
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Front Matter
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Back Matter
Editors and Affiliations
Bibliographic Information
Book Title: Information Processing and Biological Systems
Editors: Samuli Niiranen, Andre Ribeiro
Series Title: Intelligent Systems Reference Library
DOI: https://doi.org/10.1007/978-3-642-19621-8
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2011
Hardcover ISBN: 978-3-642-19620-1Published: 06 March 2011
Softcover ISBN: 978-3-642-26735-2Published: 21 April 2013
eBook ISBN: 978-3-642-19621-8Published: 10 March 2011
Series ISSN: 1868-4394
Series E-ISSN: 1868-4408
Edition Number: 1
Number of Pages: X, 230
Topics: Computational Intelligence, Artificial Intelligence, Systems Biology, Computational Biology/Bioinformatics, Complexity