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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
Attention for Chapter 3: Information Flow in a Mammalian Signal Transduction Pathway
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Chapter title
Information Flow in a Mammalian Signal Transduction Pathway
Chapter number 3
Book title
Information- and Communication Theory in Molecular Biology
Published by
Springer, Cham, January 2018
DOI 10.1007/978-3-319-54729-9_3
Book ISBNs
978-3-31-954728-2, 978-3-31-954729-9
Authors

Manuela Benary, Ilias Nolis, Nils Blüthgen, Alexander Loewer

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 30%
Student > Master 2 20%
Librarian 1 10%
Student > Doctoral Student 1 10%
Lecturer 1 10%
Other 2 20%
Readers by discipline Count As %
Engineering 4 40%
Biochemistry, Genetics and Molecular Biology 3 30%
Agricultural and Biological Sciences 1 10%
Earth and Planetary Sciences 1 10%
Immunology and Microbiology 1 10%
Other 0 0%