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Item Details
Title: COMBINATORICS OF GENOME REARRANGEMENTS
By: Guillaume Fertin, Anthony Labarre, Irena Rusu
Format: Hardback

List price: £7.99


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ISBN 10: 0262062828
ISBN 13: 9780262062824
Publisher: MIT PRESS LTD
Pub. date: 5 June, 2009
Series: Computational Molecular Biology
Pages: 304
Description: A comprehensive survey of a rapidly expanding field of combinatorial optimization, mathematically oriented but offering biological explanations when required.
Synopsis: From one cell to another, from one individual to another, and from one species to another, the content of DNA molecules is often similar. The organization of these molecules, however, differs dramatically, and the mutations that affect this organization are known as genome rearrangements. Combinatorial methods are used to reconstruct putative rearrangement scenarios in order to explain the evolutionary history of a set of species, often formalizing the evolutionary events that can explain the multiple combinations of observed genomes as combinatorial optimization problems. This book offers the first comprehensive survey of this rapidly expanding application of combinatorial optimization. It can be used as a reference for experienced researchers or as an introductory text for a broader audience. Genome rearrangement problems have proved so interesting from a combinatorial point of view that the field now belongs as much to mathematics as to biology. This book takes a mathematically oriented approach, but provides biological background when necessary. It presents a series of models, beginning with the simplest (which is progressively extended by dropping restrictions), each constructing a genome rearrangement problem. The book also discusses an important generalization of the basic problem known as the median problem, surveys attempts to reconstruct the relationships between genomes with phylogenetic trees, and offers a collection of summaries and appendixes with useful additional information.
Reader Age: From 18 years
Illustrations: 44 B&W line drawings
Publication: US
Imprint: MIT Press
Returns: Returnable
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