Genomics & Bioinformatics


Parsimony, Phylogeny, and Genomics

$99.00
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Paperback May 2006 ISBN13: 9780199297306ISBN10: 0199297304 Parsimony analysis (cladistics) has long been one of the most widely used methods of phylogenetic inference in the fields of systematic and evolutionary biology. Moreover it has mathematical attributes that lend itself for use with complex, genomic-scale data sets. This book demonstrates the potential that this powerful hierarchical data summarization method also has for both structural and functional comparative genomic research.
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Cellular Computing

$60.00
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Paperback Jul 2004 ISBN13: 9780195155402ISBN10: 0195155408

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The Cytokine Network

$85.00
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Paperback Mar 2000 ISBN13: 9780199637027ISBN10: 0199637024

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FISH

$125.00
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Paperback Aug 2002 ISBN13: 9780199638840ISBN10: 0199638845

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Bioinformatics

Experiments, Tools, Databases, and Algorithms
$29.95
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Paperback Aug 2007 ISBN13: 9780195676839ISBN10: 0195676831
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Essential Molecular Biology

A Practical Approach
Volume I
Second Edition
$99.00
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Paperback Nov 2000 ISBN13: 9780199636426ISBN10: 0199636427

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Assembling the Tree of Life

$74.00
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Hardback Jun 2004 ISBN13: 9780195172348ISBN10: 0195172345 Provides an authoritative synethesis of knowledge about the history of life.
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Genome Mapping

A Practical Approach
$99.00
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Paperback Oct 1997 ISBN13: 9780199636303ISBN10: 0199636303

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Mathematics of Evolution and Phylogeny

$125.00
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Hardback Apr 2005 ISBN13: 9780198566106ISBN10: 0198566107 This book considers evolution at different scales: sequences, genes, gene families, organelles, genomes and species. The focus is on the mathematical and computational tools and concepts, which form an essential basis of evolutionary studies, indicate their limitations, and give them orientation. Recent years have witnessed rapid progress in this area, with models and methods becoming more realistic, powerful, and complex.

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Statistical Theory and Methods for Evolutionary Genomics

$79.50
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Hardback Dec 2010 ISBN13: 9780199213269ISBN10: 0199213267 Summarises the statistical framework of evolutionary genomics, and illustrates how statistical modelling and testing can enhance our understanding of functional genomic evolution.
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