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Mathematical Modelling in Plant Biology

  • Richard J. Morris

Table of contents

  1. Front Matter
    Pages i-xiii
  2. Mathilde Dumond, Arezki Boudaoud
    Pages 1-14
  3. M. G. Blyth, R. J. Morris
    Pages 15-36
  4. K. C. A. Wedgwood, J. Tabak, K. Tsaneva-Atanasova
    Pages 37-52
  5. Eva E. Deinum, Bela M. Mulder
    Pages 53-67
  6. Maria Papanatsiou, Adrian Hills, Michael R. Blatt
    Pages 69-86
  7. Pau Formosa-Jordan, José Teles, Henrik Jönsson
    Pages 87-106
  8. Gabriella Mosca, Milad Adibi, Soeren Strauss, Adam Runions, Aleksandra Sapala, Richard S. Smith
    Pages 107-138
  9. Przemyslaw Prusinkiewicz, Mikolaj Cieslak, Pascal Ferraro, Jim Hanan
    Pages 139-169
  10. Back Matter
    Pages 213-219

About this book

Introduction

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.

Keywords

Computational biology Mathematical biology Plant systems biology Agriculture Arabidopsis Plant physiology

Editors and affiliations

  • Richard J. Morris
    • 1
  1. 1.Computational and Systems BiologyJohn Innes CentreNorwichUK

Bibliographic information

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