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Mathematical Modelling in Plant Biology de Richard J. Morris

Mathematical Modelling in Plant Biology

Editat de Richard J. Morris
en Limba Engleză Hardback – 12 noi 2018
Progress in plant biology relies on the quantification, analysis and mathematical modeling of data over different time and length scales. This book describes common mathematical and computational approaches as well as some carefully chosen case studies that demonstrate the use of these techniques to solve problems at the forefront of plant biology. Each chapter is written by an expert in field with the goal of conveying concepts whilst at the same time providing sufficient background and links to available software for readers to rapidly build their own models and run their own simulations. This book is aimed at postgraduate students and researchers working the field of plant systems biology and synthetic biology, but will also be a useful reference for anyone wanting to get into quantitative plant biology.
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Specificații

ISBN-13: 9783319990699
ISBN-10: 3319990691
Pagini: 242
Ilustrații: XIII, 219 p. 95 illus., 74 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.51 kg
Ediția:1st ed. 2018
Editura: Springer International Publishing
Colecția Springer
Locul publicării:Cham, Switzerland

Cuprins

Physical Models of Plant Morphogenesis.- Fluid Transport in Plants.- Modelling Ion Channels.- Modelling the Plant Microtubule Cytoskeleton.- Bridging Scales from Protein Function to Whole-plant Water Relations with the OnGuard Platform.- Single-cell Approaches for Understanding Morphogenesis Using Computational Morphodynamics.- Modeling Plant Tissue Growth and Cell Division.- Modeling Plant Development with L-systems.- Flowering Time as a Model Trait to Bridge Proximate and Evolutionary Questions.- All but Sleeping? Consequences of Soil Seed Banks on Neutral and Selective Diversity in Plant Species.

Recenzii

“This book is an interesting collection of ten types of mathematical and computational methods used for modelling processes occurring in plants. … the book is written for an audience with a solid background in either mathematical/ computational methods or plant biology the structure of the chapters and the usage of numerous case studies complemented with an extensive set of references recommend this book is a good starting point for undergraduate, graduates and established researchers with an interest in this field.” (Irina Ioana Mohorianu, zbMATH 1415.92008, 2019)

Notă biografică

Richard J Morris' research aims to shed light on the physics of information processing in plants. He completed a degree in Mechanical Engineering at the age of 19 before obtaining a BSc in Physics and then an MSc in Theoretical Physics in 1996 from the Erzherzog University of Graz, Austria. He won an EMBL fellowship to carry out his PhD research at the European Molecular Biology Laboratory (EMBL) in the field of computational protein crystallography with Dr Victor Lamzin. After completing his PhD in 2000, Richard joined the group of Dr Gerard Bricogne (MRC-LMB Cambridge & Global Phasing Ltd) to work on Bayesian approaches for protein structure solution. Richard then joined the group of Dame Prof Janet Thornton, FRS, at the European Bioinformatics Institute (EMBL-EBI) in 2002, where he developed novel shape mathematics for protein function prediction. In 2005, Richard was recruited to the bioinformatics group at the John Innes Centre (JIC) as a tenure-track project leader. Richard played a key role in building up computational biology at JIC. He became Head of Department for Computational and Systems Biology in 2010. In 2013 he took on the role of institute strategic programme leader as an associate director. He is active in promoting quantitative, and in particular physical, approaches to plant biology and in training the next generation in mathematical modelling and computational methods.

Textul de pe ultima copertă

Progress in plant biology relies on the quantification, analysis and mathematical modeling of data over different time and length scales. This book describes common mathematical and computational approaches as well as some carefully chosen case studies that demonstrate the use of these techniques to solve problems at the forefront of plant biology. Each chapter is written by an expert in field with the goal of conveying concepts whilst at the same time providing sufficient background and links to available software for readers to rapidly build their own models and run their own simulations. This book is aimed at postgraduate students and researchers working the field of plant systems biology and synthetic biology, but will also be a useful reference for anyone wanting to get into quantitative plant biology.

Caracteristici

Contributions by the world's leading researchers in mathematical and computational biology
Demystifies quantitative biology for plant scientists
Carefully chosen examples and paradigms that illustrate the power of predictive modelling in plant biology