Teaches the use of modern computational methods for the analysis of biomedical systems using case studies and accompanying software.
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Throughout the foreseeable future, research in medicine, molecular biology, and biotechnology will be dominated by scientific advances resulting from the Human Genome Project. Knowledge of genomes will elucidate disease patterns and promise improved and personalized treatments. Food and drug development will be revolutionized by focused manipulation of genes and biochemical processes. Researchers will begin to construct metabolic pathways from scratch. A true understanding of genetic and metabolic function and design will depend on mathematical and computational methods for analyzing biochemical systems. It will require new ways of thinking and novel approaches of integrative analysis. This book teaches biochemists and molecular biologists the use of modern computational methods for the analysis of complex biomedical systems without assuming more than a modest background in mathematics. The book begins with representations of biochemical systems, provides guidelines for setting up models, discusses in detail mathematical and computational methods of parameter estimation and model analysis, and ultimately connects to the modern literature with four detailed case studies. Every step is illustrated with examples and explored with accompanying software.
'... is not only a fine, but a long overdue, book ... this is an excellent introduction to a complex field, which I am happy to recommend to anyone.' Darren Flower, Chemistry in Britain
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
Vendeur : Labyrinth Books, Princeton, NJ, Etats-Unis
Etat : Very Good. N° de réf. du vendeur 138296
Quantité disponible : 2 disponible(s)
Vendeur : Mikes Book Market, North Lancaster, ON, Canada
Hardcover. Etat : As New. No Jacket. 1st Edition. CRISP UNMARKED COPY,AS NEW CONDITION. N° de réf. du vendeur BB-22
Quantité disponible : 1 disponible(s)