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Information- and communication theor...

Bossert, Martin.

Information- and communication theory in molecular biology

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Information- and communication theory in molecular biologyedited by Martin Bossert.
其他作者:	Bossert, Martin.
出版者:	Cham :Springer International Publishing :2018.
面頁冊數:	xvi, 374 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	Bioinformatics.
電子資源:	http://dx.doi.org/10.1007/978-3-319-54729-9
ISBN:	9783319547299$q(electronic bk.)

Information- and communication theory in molecular biology
Information- and communication theory in molecular biology[electronic resource] /edited by Martin Bossert. - Cham :Springer International Publishing :2018. - xvi, 374 p. :ill., digital ;24 cm. - Lecture notes in bioengineering,2195-271X. - Lecture notes in bioengineering..

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.

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.

ISBN: 9783319547299$q(electronic bk.)

Standard No.: 10.1007/978-3-319-54729-9doiSubjects--Topical Terms:

194415
Bioinformatics.

LC Class. No.: QH324.2

Dewey Class. No.: 570.285

Information- and communication theory in molecular biology
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505 0 $a 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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