Computational Methods in Systems Biology
15th International Conference, CMSB 2017, Darmstadt, Germany, September 27-29, 2017, Proceedings
Published on 1. September 2017
Book
Paperback/Softback
XIII, 332 pages
978-3-319-67470-4 (ISBN)
Description
This book constitutes the refereed proceedings of the 15th International Conference on Computational Methods in Systems Biology, CMSB 2017, held in Darmstadt, Germany, in September 2017. The 15 full papers, 4 tool papers and 4 posters presented together with 1 invited talk were carefully reviewed and selected from 41 regular paper submissions. Topics of interest include formalisms for modeling biological processes; models and their biological applications; frameworks for model verication, validation, analysis, and simulation of biological systems; high-performance computational systems biology and parallel implementations; model inference from experimental data; model integration from biological databases; multi-scale modeling and analysis methods; and computational approaches for synthetic biology.
More details
Series
Edition
1st ed. 2017
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Illustrations
108 s/w Abbildungen
XIII, 332 p. 108 illus.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 19 mm
Weight
528 gr
ISBN-13
978-3-319-67470-4 (9783319674704)
DOI
10.1007/978-3-319-67471-1
Schweitzer Classification
Other editions
Additional editions
Jérôme Feret | Heinz Koeppl
Computational Methods in Systems Biology
15th International Conference, CMSB 2017, Darmstadt, Germany, September 27-29, 2017, Proceedings
E-Book
09/2017
Springer
€53.49
Available for download
Content
Formalisms for modeling biological processes.- Models and their biological applications.- Frameworks for model verication, validation, analysis, and simulation of biological systems.- High-performance computational systems biology and parallel implementations.- Model inference from experimental data.-Model integration from biological databases.- Multi-scale modeling and analysis methods.- Computational approaches for synthetic biology.