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Information- and Communication Theory in Molecular Biology

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Cover of 'Information- and Communication Theory in Molecular Biology'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction
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    Chapter 2 MicroRNA as an Integral Part of Cell Communication: Regularized Target Prediction and Network Prediction
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    Chapter 3 Information Flow in a Mammalian Signal Transduction Pathway
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    Chapter 4 Information Theoretic Concepts to Unravel Cell–Cell Communication
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    Chapter 5 Finding New Overlapping Genes and Their Theory (FOG Theory)
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    Chapter 6 The Evolutive Adaptation of the Transcriptional Information Transmission in Escherichia Coli
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    Chapter 7 Improving the Reliability of RNA-seq: Approaching Single-Cell Transcriptomics To Explore Individuality in Bacteria
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    Chapter 8 Morning and Evening Peaking Rhythmic Genes are Regulated by Distinct Transcription Factors in Neurospora crassa
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    Chapter 9 Evolution of the AMP-Activated Protein Kinase Controlled Gene Regulatory Network
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    Chapter 10 Semiotic Structures and Meaningful Information in Biological Systems
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    Chapter 11 Information Transfer in the Mammalian Circadian Clock
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    Chapter 12 The DNA from a Coding Perspective
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    Chapter 13 Application of Methods from Information Theory in Protein-Interaction Analysis
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    Chapter 14 Identification of Causal Dependences in Gene Regulatory Networks Using Algorithmic Information Theory
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    Chapter 15 Molekulare Mechanismen der Datenintegration und Entscheidung zur Einleitung der Reproduktiven Phase in Pflanzen
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    Chapter 16 An Information Theoretic Approach to Stimulus Processing in the Olfactory System
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    Chapter 17 RNA Structures as Processing Signals
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Title
Information- and Communication Theory in Molecular Biology
Published by
Springer International Publishing, January 2018
DOI 10.1007/978-3-319-54729-9
ISBNs
978-3-31-954728-2, 978-3-31-954729-9
Editors

Prof. Dr. Martin Bossert

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 22%
Researcher 2 22%
Librarian 1 11%
Professor 1 11%
Student > Master 1 11%
Other 2 22%
Readers by discipline Count As %
Agricultural and Biological Sciences 4 44%
Business, Management and Accounting 1 11%
Biochemistry, Genetics and Molecular Biology 1 11%
Arts and Humanities 1 11%
Computer Science 1 11%
Other 1 11%