Overview
- The reader is made confident using the various sources of help available in Matlab and online
- The book introduces ways in which Matlab is used in biological research other than data analysis
- With examples from the biological sciences
- The reader will understand the basic programming methods
- and will learn to import and export data standard sets
- The reader will be able to manipulate the date and create plots
- to use script files to group commands and create simple functions
- use many of Matlab's in-built functions
Part of the book series: Learning Materials in Biosciences (LMB)
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Table of contents (11 chapters)
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Front Matter
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Back Matter
Keywords
About this book
This textbook takes you from the very first time you open MATLAB® through to a position where you can comfortably integrate this computer language into your research or studies. The book will familiarise you with the MATLAB interface, show you how to use the program´s built-in functions and carefully guide you towards creating your own functions and scripts so that you can use MATLAB as a sophisticated tool to support your own research. A central aim of this book is to provide you with the core knowledge and skills required to become a confident MATLAB user so that you can find and make use of the many specialist functions and toolboxes that have been developed to support a wide range of biological applications.
Examples presented within the book are selected to be relevant to biological scientists and they illustrate some of the many ways the program can be incorporated into, and used to enhance, your own research and studies.
The textbook is a must-have for students and researchers in the biological sciences. It will also appeal to readers of all backgrounds who are looking for an introduction to MATLAB which is suitable for those with little or no experience of programming.Authors and Affiliations
About the authors
Cerian R. Webb: Cerian Webb graduated with a degree in pure Mathematics from the University of York, followed by an MSc in Mathematical Biology from the University of Dundee. She completed her PhD at the Department of Plant Sciences, University of Cambridge, modelling crop growth and disease dynamics. Cerian lectures on undergraduate courses in Mathematical Biology at the University of Cambridge and is a lecturer on the Wellcome Genome Campus Advanced Course 'Mathematical Models for Infectious Disease Dynamics'. She regularly delivers a course on MATLAB for biologists through the University of Cambridge School of Biological Sciences Bioinformatics Training Facility. Cerian is currently a post-doctoral research associate in the Epidemiology and Modelling Group, Department of Plant Sciences, University of Cambridge and is the Associate Lecturer in Mathematical Biology at Newnham College, Cambridge.
Mirela Domijan: Mirela Domijan completed her undergraduate and MPhil studies in Mathematics at the University of Waikato, her PhD at the University of Warwick and she held postdoctoral posts at Warwick and at the University of Cambridge. At present she is a lecturer in Applied Mathematics in the Department of Mathematical Sciences at the University of Liverpool. She has lectured courses in Mathematical Biology and Systems Biology and, during her time at the University of Cambridge, she taught MATLAB at the university’s School of Biological Sciences Bioinformatics Training Facility. Her research focuses on application of mathematics to plant biology.
Bibliographic Information
Book Title: Introduction to MATLAB® for Biologists
Authors: Cerian Ruth Webb, Mirela Domijan
Series Title: Learning Materials in Biosciences
DOI: https://doi.org/10.1007/978-3-030-21337-4
Publisher: Springer Cham
eBook Packages: Biomedical and Life Sciences, Biomedical and Life Sciences (R0)
Copyright Information: Springer Nature Switzerland AG 2019
Softcover ISBN: 978-3-030-21336-7Published: 14 August 2019
eBook ISBN: 978-3-030-21337-4Published: 01 August 2019
Series ISSN: 2509-6125
Series E-ISSN: 2509-6133
Edition Number: 1
Number of Pages: XIII, 175
Number of Illustrations: 3 b/w illustrations, 27 illustrations in colour
Topics: Molecular Medicine, Computer Appl. in Life Sciences, Science Education, Computational Biology/Bioinformatics, Skills, Systems Biology