Bookstein F.L. Morphometric Tools for Landmark Data: Geometry and Biology

Издательство Prentice Hall, 2002, -395 pp. Bioinformatics Computing is a practical guide to computing in the burgeoning field of bioinformatics—the study of how information is represented and transmitted in biological systems, starting at the molecular level. This book, which is intended for molecular biologists at all levels of training and practice, assumes the reader is computer literate with modest computer skills, but has little or no forma...

Springer, 2005. - 396 pages. Solving modern biological problems requires advanced computational methods. Bioinformatics evolved from the active interaction of two fast-developing disciplines, biology and information technology. The central issue of this emerging field is the transformation of often distributed and unstructured biological data into meaningful information. This book describes the application of well-established concepts and techn...

SIAM, 2006. - 309 pages. This is the only book that teaches all aspects of modern mathematical modeling and that is specifically designed to introduce undergraduate students to problem solving in the context of biology. Included is an integrated package of theoretical modeling and analysis tools, computational modeling techniques, and parameter estimation and model validation methods, with a focus on integrating analytical and computational tool...

Society for Industrial and Applied Mathematics, 2005. - 586 pages. Mathematical Models in Biology is an introductory book for readers interested in biological applications of mathematics and modeling in biology. A favorite in the mathematical biology community since its first publication in 1988, the book shows how relatively simple mathematics can be applied to a variety of models to draw interesting conclusions. Connections are made between di...

Humana Press, Springer Science+Business Media, 2010, 327 pages Computational biology is an interdisciplinary field that applies mathematical, statistical, and computer science methods to answer biological questions, and its importance has only increased with the introduction of high-throughput techniques such as automatic DNA sequencing, comprehensive expression analysis with microarrays, and proteome analysis with modern mass spectrometry. In...

Springer, 1994. - 220 Pages. In this book, methods from fractal geometry are applied to model growth forms, taking as a case study a type of growth process which can be found among various taxonomic classes such as sponges and corals. These models can be used, for example, to understand the amazing variety of forms to be found in a coral reef and to simulate their growth with 2D and 3D geometrical objects. Models which mimic the growth of forms...

Amsterdam: Elsevier, 1998. 854 p. Preface: Complex ecological data sets. Matrix algebra: a summary. Dimensional analysis in ecology. Multidimensional quantitative data. Multidimensional semiquantitative data. Multidimensional qualitative data. Ecological resemblance. Cluster analysis. Ordination in reduced space. nterpretation of ecological structures. Canonical analysis. Ecological data series. Spatial analysis. Bibliography Tables Subject index

Издательство InTech, 2011, -456 pp. Nowadays it is difficult to imagine an area of knowledge that can continue developing without the use of computers and informatics. It is not different with biology, that has seen an unpredictable growth in recent decades, with the rise of a new discipline, bioinformatics, bringing together molecular biology, biotechnology and information technology. More recently, the development of high throughput techniques...

Springer, 2007. - 574 Pages. Mathematical Biology is a richly illustrated textbook in an exciting and fast growing field. Providing an in-depth look at the practical use of math modeling, it features exercises throughout that are drawn from a variety of bioscientific disciplines - population biology, developmental biology, physiology, epidemiology, and evolution, among others. It maintains a consistent level throughout so that graduate students...

Nova Science Publishers, 2009. - 312 pages. Applying mathematics to biology has a long history, but only recently has there been an explosion of interest in the field. Some reasons for this include: the explosion of data-rich information sets, due to the genomics revolution, which are difficult to understand without the use of analytical tools, recent development of mathematical tools such as chaos theory to help understand complex, non-linear m...