Editors:
- Presents research results of the DFG priority program InKoMBio, SPP 1395, 2010 to 2016
- Covers a broad range of multidisciplinary topics
- Written by experts in the field
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Bioengineering (LNBE)
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Table of contents (17 chapters)
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Front Matter
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Compact Shelving of the Projects
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Front Matter
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Detailed Descriptions
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Front Matter
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About this book
This edited monograph presents the collected interdisciplinary research results of the priority program “Information- and Communication Theory in Molecular Biology (InKoMBio, SPP 1395)”, funded by the German Research Foundation DFG, 2010 until 2016. The topical spectrum is very broad and comprises, but is not limited to, aspects such as microRNA as part of cell communication, information flow in mammalian signal transduction pathway, cell-cell communication, semiotic structures in biological systems, as well as application of methods from information theory in protein interaction analysis. The target audience primarily comprises research experts in the field of biological signal processing, but the book is also beneficial for graduate students alike.
Editors and Affiliations
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Institute of Communications Engineering, Ulm University, Ulm, Germany
Martin Bossert
Bibliographic Information
Book Title: Information- and Communication Theory in Molecular Biology
Editors: Martin Bossert
Series Title: Lecture Notes in Bioengineering
DOI: https://doi.org/10.1007/978-3-319-54729-9
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing AG 2018
Hardcover ISBN: 978-3-319-54728-2Published: 02 August 2017
Softcover ISBN: 978-3-319-85465-6Published: 03 August 2018
eBook ISBN: 978-3-319-54729-9Published: 01 August 2017
Series ISSN: 2195-271X
Series E-ISSN: 2195-2728
Edition Number: 1
Number of Pages: XVI, 374
Number of Illustrations: 23 b/w illustrations, 95 illustrations in colour
Topics: Signal, Image and Speech Processing, Physiological, Cellular and Medical Topics, Systems Biology, Computational Biology/Bioinformatics