• Computer Modelling for Nutritionists

      Mc Auley, Mark Tomás; University of Chester
      This book is about computational modelling of nutrient focused biological systems. The book is aimed at students, researchers, and those with an interest in learning how to build a computational model. The book is the product of many years of teaching computational modelling to undergraduates, postgraduates, and researchers with limited, or no background in computational modelling. What I learned from these experiences is those new to modelling are invariably apprehensive about it, and approach it with a degree of trepidation, or even scepticism. However, from tentative initial steps, they quickly realize that modelling is not as challenging, or as academically intimidating as they initially perceive it; and after gaining familiarity with the essential components of model building they rapidly become cognisant, that it offers an alternative lens to view a biological system, and learn new insights about its underlying dynamic behaviour. In this book I provide a practical introduction to modelling, for those who are interested in exploring the dynamics of nutrient based systems. My rationale for undertaking this project is based on my experience of interacting with nutritionists in recent years. As a result of many fruitful discussions I identified a growing need for a book of this nature, which is specifically tailored to nutritionists. My aims are to provide the reader with a solid grounding in computational modelling, and how it dovetails within the burgeoning field of systems biology. For the reader this will involve learning how a model is assembled, what software tools are available for model building, what the different paradigms are for simulating a model, and how to analyse and interpret the output from in silico simulations. The only expectation I make of you, as a reader, is that you are enthusiastic about learning how to use new software tools. In exchange for your engagement I will provide you with ample practical exercises, which will help to consolidate your learning, and will make your computational modelling journey a rewarding and enjoyable experience.