Computational Modelling and Simulation in Biomedical Research (eBook, ePUB)
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This reference provides a comprehensive overview of computational modelling and simulation for theoretical and practical biomedical research. The book explains basic concepts of computational biology and data modelling for learners and early career researchers. Chapters cover these topics:1. An introduction to computational tools in biomedical research2. Computational analysis of biological data3. Algorithm development for computational modelling and simulation4. The roles and application of protein modelling in biomedical research5. Dynamics of biomolecular ligand recognitionKey features incl...
This reference provides a comprehensive overview of computational modelling and simulation for theoretical and practical biomedical research. The book explains basic concepts of computational biology and data modelling for learners and early career researchers. Chapters cover these topics:
1. An introduction to computational tools in biomedical research
2. Computational analysis of biological data
3. Algorithm development for computational modelling and simulation
4. The roles and application of protein modelling in biomedical research
5. Dynamics of biomolecular ligand recognition
Key features include a simple, easy-to-understand presentation, detailed explanation of important concepts in computational modeling and simulations and references.
Readership
Undergraduates and graduates in life sciences, bioinformatics, data science, computer science and biomedical engineering courses. Early career researchers.
1. An introduction to computational tools in biomedical research
2. Computational analysis of biological data
3. Algorithm development for computational modelling and simulation
4. The roles and application of protein modelling in biomedical research
5. Dynamics of biomolecular ligand recognition
Key features include a simple, easy-to-understand presentation, detailed explanation of important concepts in computational modeling and simulations and references.
Readership
Undergraduates and graduates in life sciences, bioinformatics, data science, computer science and biomedical engineering courses. Early career researchers.
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