Information- and Communication Theory in Molecular Biology

Author:   Martin Bossert
Publisher:   Springer International Publishing AG
Edition:   1st ed. 2018
ISBN:  

9783319547282


Pages:   374
Publication Date:   02 August 2017
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Information- and Communication Theory in Molecular Biology


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Author:   Martin Bossert
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   1st ed. 2018
Weight:   7.096kg
ISBN:  

9783319547282


ISBN 10:   3319547283
Pages:   374
Publication Date:   02 August 2017
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Introduction.- MicroRNA as an integral part of cell communication: regularized target prediction and network prediction.- Information Flow in a Mammalian Signal Transduction Pathway.- Information Theoretic Concepts to Unravel Cell-Cell Communication.- Finding new overlapping genes and their theory (FOG-Theory).- The Evolutive Adaptation of the Transcriptional Information Transmission in Escherichia coli.- Improving the Reliability of RNA-seq: Approaching Single-Cell Transcriptomics to Explore Individuality in Bacteria.- Morning and evening peaking rhythmic genes are regulated by distinct transcription factors in Neurospora crassa.- Evolution of the AMP-activated protein kinase controlled gene regulatory network.- Semiotic Structures and Meaningful Information in Biological Systems.- Information Transfer in the Mammalian Circadian Clock.- The DNA from a coding perspective.- Application of Methods from Information Theory in Protein-Interaction Analysis.- Identification of Causal Dependences in Gene Regulatory Networks using Algorithmic Information Theory.- An Information Theoretic Approach to Stimulus Processing in the Olfactory System.- RNA Structures as Processing Signals.

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