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Modelling, Analysis and Optimization of Biosystems

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Release : 2007-08-16
Genre : Mathematics
Kind : eBook
Book Rating : 537/5 ( reviews)

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Book Synopsis Modelling, Analysis and Optimization of Biosystems by : Werner Krabs

Download or read book Modelling, Analysis and Optimization of Biosystems written by Werner Krabs. This book was released on 2007-08-16. Available in PDF, EPUB and Kindle. Book excerpt: In general, several mathematical models can be designed in order to describe a biological or medical process and there is no unique criterion which model gives the best description. This book presents several of these models and shows applications of them to different biological and medical problems. The book shows that operations research expertise is necessary in respect to modeling, analysis and optimization of biosystems.

Modelling, Analysis and Optimization of Biosystems

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Release : 2009-09-02
Genre : Mathematics
Kind : eBook
Book Rating : 575/5 ( reviews)

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Book Synopsis Modelling, Analysis and Optimization of Biosystems by : Werner Krabs

Download or read book Modelling, Analysis and Optimization of Biosystems written by Werner Krabs. This book was released on 2009-09-02. Available in PDF, EPUB and Kindle. Book excerpt: In general, several mathematical models can be designed in order to describe a biological or medical process and there is no unique criterion which model gives the best description. This book presents several of these models and shows applications of them to different biological and medical problems. The book shows that operations research expertise is necessary in respect to modeling, analysis and optimization of biosystems.

Essentials of Bioinformatics, Volume I

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Release : 2019-03-27
Genre : Science
Kind : eBook
Book Rating : 345/5 ( reviews)

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Book Synopsis Essentials of Bioinformatics, Volume I by : Noor Ahmad Shaik

Download or read book Essentials of Bioinformatics, Volume I written by Noor Ahmad Shaik. This book was released on 2019-03-27. Available in PDF, EPUB and Kindle. Book excerpt: Bioinformatics is an integrative field of computer science, genetics, genomics, proteomics, and statistics, which has undoubtedly revolutionized the study of biology and medicine in past decades. It mainly assists in modeling, predicting and interpreting large multidimensional biological data by utilizing advanced computational methods. Despite its enormous potential, bioinformatics is not widely integrated into the academic curriculum as most life science students and researchers are still not equipped with the necessary knowledge to take advantage of this powerful tool. Hence, the primary purpose of our book is to supplement this unmet need by providing an easily accessible platform for students and researchers starting their career in life sciences. This book aims to avoid sophisticated computational algorithms and programming. Instead, it mostly focuses on simple DIY analysis and interpretation of biological data with personal computers. Our belief is that once the beginners acquire these basic skillsets, they will be able to handle most of the bioinformatics tools for their research work and to better understand their experimental outcomes. Unlike other bioinformatics books which are mostly theoretical, this book provides practical examples for the readers on state-of-the-art open source tools to solve biological problems. Flow charts of experiments, graphical illustrations, and mock data are included for quick reference. Volume I is therefore an ideal companion for students and early stage professionals wishing to master this blooming field.

Mathematical Modelling of Biosystems

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Release : 2008-02-23
Genre : Mathematics
Kind : eBook
Book Rating : 843/5 ( reviews)

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Book Synopsis Mathematical Modelling of Biosystems by : Rubem P. Mondaini

Download or read book Mathematical Modelling of Biosystems written by Rubem P. Mondaini. This book was released on 2008-02-23. Available in PDF, EPUB and Kindle. Book excerpt: This volume is an interdisciplinary book which introduces, in a very readable way, state-of-the-art research in the fundamental topics of mathematical modelling of Biosystems. In short, the book offers an overview of mathematical and computational modelling of biosystems including biological phenomena in general. There is also a special introduction to Protein Physics which aims to explain the all-or-none first order phase transitions from native to denatured states.

Fundamentals of Systems Analysis and Modeling of Biosystems and Metabolism

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Release : 2015-06-04
Genre : Science
Kind : eBook
Book Rating : 869/5 ( reviews)

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Book Synopsis Fundamentals of Systems Analysis and Modeling of Biosystems and Metabolism by : Kazuyuki Shimizu

Download or read book Fundamentals of Systems Analysis and Modeling of Biosystems and Metabolism written by Kazuyuki Shimizu. This book was released on 2015-06-04. Available in PDF, EPUB and Kindle. Book excerpt: An understanding of biological systems at cellular and molecular levels helps researchers to model cellular behavior in different experimental conditions. This, in turn, can lead to insights about the influence of cell culture environment and the effect of knockout gene research when studying mutations that affect specific metabolic pathways. A systems biology approach, therefore, allows researchers to simulate experimental observations in order to predict outcomes at the cellular level. Fundamentals of Systems Analysis and Modeling of Biosystems and Metabolism presents the basic concepts required for a systems biology approach towards cellular modeling. The book is intended as a primer for systems biology and biomedical engineering graduates and researchers. The text introduces readers to concepts related to cellular metabolism and its regulation, (enzymatic regulation and transcriptional regulation) which are also incorporated into a main metabolic model of a cell. The book also has chapters dedicated to identifying and incorporating steady-state and dynamic characteristics when considering a biological model for a computer simulation. Readers will be able to (1) understand the basis of systems analysis towards creating appropriate biological models and simulations, (2) develop useful kinetic models based on cellular transport phenomena and metabolic regulation, (3) understand how to simulate a cell growth phenotype, and analyze it with experimental data.

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