Computational Methods in Synthetic Biology

Softcover Nachdruck of the original 1. Auflage 2015
ISBN: 978-1-4939-5380-6
Verlag: Springer

Buch, Englisch, Band 1244, 358 Seiten, Paperback, Format (B × H): 178 mm x 254 mm, Gewicht: 6975 g

Reihe: Methods in Molecular Biology

This volume provides complete coverage of the computational approaches currently used in Synthetic Biology.  Chapters focus on computational methods and algorithms for the design of bio-components, insight on CAD programs, analysis techniques, and distributed systems. Written in the highly successful Methods in Molecular Biology series format, the chapters include the kind of detailed description and implementation advice that is crucial for getting optimal results in the laboratory.

 

Authoritative and practical, Computational Methods in Synthetic Biology serves as a guide to plan in silico the in vivo or in vitro construction of a variety of synthetic bio-circuits.

Zielgruppe

Professional/practitioner

Autoren/Hrsg.

Marchisio, Mario Andrea

Fachgebiete

• Mathematik | Informatik EDV | Informatik Angewandte Informatik Bioinformatik
• Naturwissenschaften Biowissenschaften Angewandte Biologie Bioinformatik

Inhaltsverzeichnis

Computational Protein Design Methods for Synthetic Biology.- Computer-Aided Design Of DNA Origami Structures.- Computational Design Of RNA Parts, Devices, and Transcripts With Kinetic Folding Algorithms Implemented On Multiprocessor Clusters.- Regulatory RNA Design Through Evolutionary Computation And Strand Displacement.- Programming Languages for Circuit Design.- Kappa Rule-Based Modelling in Synthetic Biology.- Modular Design Of Synthetic Gene Circuits With Biological Parts and Pools.- Computationally Guided Design Of Robust Gene Circuits.- Chemical Master Equation Closure for Computer-Aided Synthetic Biology.- Feedback loops in biological networks.- Efficient Analysis Methods in Synthetic Biology.- Using Computational Modeling and Experimental Synthetic Perturbations to Probe Biological Circuits.- In Silico Control Of Biomolecular Processes.- Stochastic Modular Analysis For Gene Circuits: Interplay Among Retroactivity, Nonlinearity, and Stochasticity.- Distributed Model Construction with Virtual Parts.- The Synthetic Biology Open Language.- Computational Methods For The Construction, Editing, and Error Correction Of DNA Molecules And Their Libraries.