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Computational Methods in Systems Biology : 17th International Conference, CMSB 2019, Trieste, Italy, September 18-20, 2019, Proceedings / edited by Luca Bortolussi, Guido Sanguinetti.
- Format:
- Book
- Series:
- Computer Science (SpringerNature-11645)
- Lecture notes in computer science. Lecture notes in bioinformatics 2366-6331 ; 11773
- Lecture Notes in Bioinformatics, 2366-6331 ; 11773
- Language:
- English
- Subjects (All):
- Bioinformatics.
- Artificial intelligence.
- Algorithms.
- Machine theory.
- Computer science-Mathematics.
- Software engineering.
- Computational and Systems Biology.
- Artificial Intelligence.
- Formal Languages and Automata Theory.
- Mathematics of Computing.
- Software Engineering.
- Local Subjects:
- Computational and Systems Biology.
- Artificial Intelligence.
- Algorithms.
- Formal Languages and Automata Theory.
- Mathematics of Computing.
- Software Engineering.
- Physical Description:
- 1 online resource (XI, 388 pages) : 487 illustrations, 87 illustrations in color.
- Edition:
- 1st ed. 2019.
- Contained In:
- Springer Nature eBook
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2019.
- System Details:
- text file PDF
- Summary:
- This book constitutes the refereed proceedings of the 17th International Conference on Computational Methods in Systems Biology, CMSB 2019, held in Trieste, Italy, in September 2019. The 14 full papers, 7 tool papers and 11 posters were carefully reviewed and selected from 53 submissions. Topics of interest include formalisms for modeling biological processes; models and their biological applications; frameworks for model verification, 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; and case studies in systems and synthetic biology.
- Contents:
- Regular Papers
- Sequential Reprogramming of Boolean Networks Made Practical
- Sequential Reprogramming of Biological Network Fate
- Control Variates for Stochastic Simulation of Chemical Reaction Networks
- Effective computational methods for hybrid stochastic gene networks
- On Chemical Reaction Network Design by a Nested Evolution Algorithm
- Designing Distributed Cell Classifier Circuits using a Genetic Algorithm
- Investigating a Hodgkin-Huxley type model for Drosophila larval neuromuscular junctions via particle swarm fitting
- Cell volume distributions in exponentially growing populations
- Transient Memory in Gene Regulation
- A Logic-Based Learning Approach to Explore Diabetes Patient Behaviors
- Reachability design through Approximate Bayesian Computation
- Fast enumeration of non-isomorphic chemical reaction networks
- A large-scale assessment of exact model reduction in the BioModels repository
- Computing Difference Abstractions of Metabolic Networks Under Kinetic Constraints
- Tool Papers
- BRE:IN - A Backend for Reasoning about Interaction Networks with Temporal Logic
- The Kappa simulator made interactive
- Biochemical reaction networks with fuzzy kinetic parameters in Snoopy
- Compartmental Modeling Software: a fast, discrete stochastic framework for biochemical and epidemiological simulation
- Spike - reproducible simulation experiments with configuration file branching
- KAMIStudio: an environment for biocuration of cellular signalling knowledge
- A new version of DAISY to test structural identifiability of biological models
- Extended Abstracts (Posters and Highlight Talks)
- Semi-Quantitative Abstraction and Analysis of Chemical Reaction Networks
- Bayesian parameter estimation for stochastic reaction networks from steady-state observations
- Wasserstein Distances for Estimating Parameters in Stochastic Reaction Networks
- On Inferring Reactions from Data Time Series by a Statistical Learning Greedy Heuristics
- Barbaric Robustness Monitoring Revisited for STL* in Parasim
- Symmetry breaking for GATA-1/PU.1 model
- Scalable Control of Asynchronous Boolean Networks
- Transcriptional response of SK-N-AS cells to methamidophos (Extended Abstract)
- Separators for polynomial dynamic systems with linear complexity
- Bounding First Passage Times in Chemical Reaction Networks
- Data-informed parameter synthesis for population Markov chains.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-030-31304-3
- 9783030313043
- Access Restriction:
- Restricted for use by site license.
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