Schneider In Silico Systems Biology

Erscheinungsjahr 2013
ISBN: 978-1-62703-450-0
Verlag: Humana Press
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, Band 1021, 313 Seiten, eBook

Reihe: Methods in Molecular Biology

Systems biology can now be considered an established and fundamental field in life sciences. It has moved from the identification of molecular 'parts lists' for living organisms towards synthesising information from different 'omics'-based approaches to generate and test new hypotheses about how biological systems work. In
In Silico Systems Biology: Methods and Protocols
, expert researchers in the field detail a practical set of chapters based often on actual materials used and develop for face-to-face training with examples and case studies.  Written in the highly successful Methods in Molecular Biology  series format, chapters include introductions to their respective topics, step-by-step workflows, and key tips on troubleshooting and avoiding known pitfalls.

 Authoritative and practical,
In Silico Systems Biology: Methods and Protocols
seeks to aid scientists in the further study of network biology and mathematical models of biological systems.

Zielgruppe

Professional/practitioner

Autoren/Hrsg.

Schneider, Maria Victoria

Inhaltsverzeichnis

Defining Systems Biology: A Brief Overview of the Term and Field.- Approaches to Modelling Gene Regulatory Networks - A Gentle Introduction.- Integration of Genomic Information with Biological Networks using Cytoscape.- Visualization and Analysis of Biological Networks.- Modeling Signaling Networks with Different Formalisms:  A Preview.- From a Biological Hypothesis to the  Construction of a Mathematical Model.- Practical use of BiNoM, a Biological Network Manager Software.- Using Chemical Kinetics to Model Biochemical Pathways.- Simulation of Stochastic KineticModels.- BioModels Database: A Repository of Mathematical Models of Biological Processes.
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Supporting SBML as a Model Exchange Format in Software Applications.- Controlled Annotations for Systems Biology.- Bayesian Approaches for Mechanistic Ion Channel Modelling.- Building Models using Reactome Pathways as Templates.- Uniform Curation Protocol of Metazoan Signaling Pathways to Predict Novel Signaling Components.- Bioinformatics Workflows and Web-services in Systems Biology Made Easy for Experimentalists.