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Mathematical and computational biology is playing an increasingly
important role in the biological sciences. This science brings
forward unique challenges, many of which are, at the moment, beyond
the theoretical techniques available. Developmental biology, due to
its complexity, has lagged somewhat behind its sister disciplines
(such as molecular biology and population biology) in making use of
quantitative modeling to further biological understanding. This
volume comprises work that is among the best developmental modeling
available and we feel it will do much to remedy this
situation.
This book is aimed at all those with an interest in the
interdisciplinary field of computer and mathematical modeling of
multi-cellular and developmental systems. It is also a goal of the
Editors to attract more developmental biologists to consider
integrating modeling components into their research. Most
importantly, this book is intended to serve as a portal into this
research area for younger scientists - especially graduate students
and post-docs, from both biological and quantitative backgrounds.
* Articles written by leading exponents in the field
* Provides techniques to address multiscale modelling
* Coverage includes a wide spectrum of modeling approaches
* Includes descriptions of the most recent advances in the field
A central goal of current biology is to decode the mechanisms
that underlie the processes of morphogenesis and pattern formation.
Concerned with the analysis of those phenomena, this book covers a
broad range of research fields, including developmental biology,
molecular biology, plant morphogenesis, ecology, epidemiology,
medicine, paleontology, evolutionary biology, mathematical biology,
and computational biology. In Morphogenesis and Pattern Formation
in Biological Systems: Experiments and Models, experimental and
theoretical aspects of biology are integrated for the construction
and investigation of models of complex processes. This collection
of articles on the latest advances by leading researchers not only
brings together work from a wide spectrum of disciplines, but also
provides a stepping-stone to the creation of new areas of
discovery.
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