Mathematical Modelling in Plant Biology (Hardcover, 1st ed. 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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Product Description

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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Product Details

General

Imprint

Springer International Publishing AG

Country of origin

Switzerland

Release date

November 2018

Availability

Expected to ship within 12 - 17 working days

First published

2018

Editors

Dimensions

235 x 155mm (L x W)

Format

Hardcover

Pages

219

Edition

1st ed. 2018

ISBN-13

978-3-319-99069-9

Barcode

9783319990699

Categories

LSN

3-319-99069-1



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