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delays, diffusion in space, or that are based on hybrid simulation strategies. This is a valuable self-contained resource for graduate students;
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, Folding, and Computational Structural Biology * Modeling And Simulation Novel Studies * Data and Information Mining, Computational Biology;
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Computational biology has soared from being an auxiliary discipline to being a crucial element for progress in practically all aspects;
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Emerging Trends in Computational Biology, Bioinformatics, and Systems Biology discusses the latest developments in all aspects;
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computational simulation to model biological behavior. This book provides explained protocols for high-throughput experiments and computational analysis;
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; computational systems biology; computational proteomics; statistical analysis of molecular sequences; algorithms for problems in computational biology;
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verification, validation, analysis, and simulation of biological systems; high-performance computational systems biology and parallel implementations;
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; frameworks for model verification, validation, analysis, and simulation of biological systems; high-performance computational systems biology and;
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databases; multi-scale modeling and analysis methods; and computational approaches for synthetic biology.;
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from biological databases; multi-scale modeling and analysis methods; computational approaches for synthetic biology; and case studies;
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biology; computational proteomics; structural and functional genomics; information systems for computational biology and imaging.;
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A practice-oriented survey of techniques for computational modeling and simulation suitable for a broad range of biological problems. There;
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This book constitutes the proceedings of the 4th InternationalConference on Algorithms for Computational Biology, AlCoB 2017, held;
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Emerging Trends in Applications and Infrastructures for Computational Biology, Bioinformatics, and Systems Biology: Systems and;
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Computational biology is a field that deals with the development and application of data-analytical and theoretical methods for studying;
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of algorithms in bioinformatics, computational biology and systems biology.;
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-tolerance and error correction; software tools for analysis, simulation, and design; synthetic biology and in vitro evolution; applications;
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approach to biochemical kinetics, the book goes onto discuss the specifics of stochastic simulation algorithms, modelling in systems biology and;
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applications of Monte Carlo simulation in computational physics, population biology, computer sciences, and statistical machine learning. Ideally;
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applications of Monte Carlo simulation in computational physics, population biology, computer sciences, and statistical machine learning. Ideally;
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This book constitutes the refereed proceedings of the 19th International Conference on Computational Methods in Systems Biology, CMSB 2021;
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This second edition book provides complete coverage of the computational approaches currently used in Synthetic Biology. New chapters;
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Part III: Advances in High-Performance Computational Earth Sciences: Applications and Frameworks; Agent-Based Simulations, Adaptive Algorithms;
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; Computational Methods for Emerging Problems in (Dis-)Information Analysis Part V: Computational Optimization, Modelling and Simulation; Computational;
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Part III: Advances in High-Performance Computational Earth Sciences: Applications and Frameworks; Agent-Based Simulations, Adaptive Algorithms;
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Part III: Advances in High-Performance Computational Earth Sciences: Applications and Frameworks; Agent-Based Simulations, Adaptive Algorithms;
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; Computational Methods for Emerging Problems in (Dis-)Information Analysis Part V: Computational Optimization, Modelling and Simulation; Computational;
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