Bioinformatics

Andrzej Polanski, Marek Kimmel

$54.99

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Publication Date: April 19th, 2007

Publisher:

Springer

ISBN:

9783540241669

Pages:

376

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Description

Bioinformatics is a discipline born of the need to introduce order into massive datasets produced by new technologies of molecular biology: large-scale DNA sequencing, measurements of RNA concentrations in multiple gene expression arrays and new profiling techniques in proteomics. This volume presents mathematical models in bioinformatics along with descriptions of inspiring biological problems and computer science tools necessary to cope with data. The material covered includes widely used applications in genomics and proteomics and later-generation techniques, which attempts at linking genetic information with structure and function of molecules, metabolic processes and whole cells. Each chapter concludes with a problems and projects section, to deepen the reader's understanding and to allow for the design of derived methods. Many of the projects involve publicly available software and/or Web-based bioinformatics depositories.

About the Author

Andrzej Polanski is Professor at the Silesian University of Technology. Prior to this, he worked as a Post Doctoral Fellow at the University of Texas, Human Genetics Center, Houston USA (1996-1997) ans as a Visiting Professor at Rice University, Houston USA (2001-2003). His research interests are in bioinformatics, biomedical modeling and control, modern control and optimization theory. Marek Kimmel, Ph.D., is a Professor of Statistics at Rice University in Houston, TX, Professor in Department of Automatic Control, Silesian University of Technology in Gliwice, Poland, Professor of Biostatistics and Applied Mathematics (adj.) at M.D. Anderson Cancer Center in Houston, and a Professor of Biometry (adj.) at the School of Public Health of the University of Texas in Houston. He is heading the Rice Bioinformatics Group as well as the doctoral program in Statistical Genetics and Bioinformatics. Dr. Kimmel is a Fellow of the American Statistical Association. His principal interests are stochastic modeling of human disease (in particular lung cancer progression and screening), statistical and population genetics, biostatistics and bioinformatics.