Genome Analysis
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Principles of Genome Analysis and Genomics
Author: Sandy B. Primrose
language: en
Publisher: John Wiley & Sons
Release Date: 2009-04-01
With the first draft of the human genome project in the publicdomain and full analyses of model genomes now available, thesubject matter of 'Principles of Genome Analysis and Genomics' iseven 'hotter' now than when the first two editions were publishedin 1995 and 1998. In the new edition of this very practical guideto the different techniques and theory behind genomes and genomeanalysis, Sandy Primrose and new author Richard Twyman provide afresh look at this topic. In the light of recent excitingadvancements in the field, the authors have completely revised andrewritten many parts of the new edition with the addition of fivenew chapters. Aimed at upper level students, it is essential thatin this extremely fast moving topic area the text is up to date andrelevant. Completely revised new edition of an establishedtextbook. Features new chapters and examples from exciting new researchin genomics, including the human genome project. Excellent new co-author in Richard Twyman, also co-author ofthe new edition of hugely popular Principles of GeneManipulation. Accompanying web-page to help students deal with this difficulttopic at www.blackwellpublishing.com/primrose
Computational Genome Analysis
Author: Richard C. Deonier
language: en
Publisher: Springer Science & Business Media
Release Date: 2005-12-27
Computational Genome Analysis: An Introduction presents the foundations of key problems in computational molecular biology and bioinformatics. It focuses on computational and statistical principles applied to genomes, and introduces the mathematics and statistics that are crucial for understanding these applications. The book is appropriate for a one-semester course for advanced undergraduate or beginning graduate students, and it can also introduce computational biology to computer scientists, mathematicians, or biologists who are extending their interests into this exciting field. This book features: - Topics organized around biological problems, such as sequence alignment and assembly, DNA signals, analysis of gene expression, and human genetic variation - Presentation of fundamentals of probability, statistics, and algorithms - Implementation of computational methods with numerous examples based upon the R statistics package - Extensive descriptions and explanations to complement the analytical development - More than 100 illustrations and diagrams (some in color) to reinforce concepts and present key results from the primary literature - Exercises at the end of chapters From the reviews: "The book is useful for its breadth. An impressive variety of topics are surveyed...." Short Book Reviews of the ISI, June 2006 "It is a very good book indeed and I would strongly recommend it both to the student hoping to take this study further and to the general reader who wants to know what computational genome analysis is all about." Mark Bloom for the JRSS, Series A, Volume 169, p. 1006, October 2006 "Richard C. Deonier, Simon Tavare and Michael S. Waterman provide us wtih a 'roll up your sleeves and get dirty' (as the authors phrase it in their preface) introduction to the field of computational genome analysis...The book is carefully written and carefully edited..." Ralf Schmid for Genetic Research, Volume 87, p. 218, 2006
Genome Analysis
Genome Analysis: Principles and Methods provides recent and advanced information about genome analysis approaches and techniques to study and annotate the structure and function of the genome. It is a compendium of important topics such as NGS analysis, genome fragmentation and assembly, metagenomics, cloning and expression, physical marker analysis, transcriptome data analysis, sequence alignment and comparison, evolutionary analysis, SNP analysis, genome-based disease diagnosis and therapies, micro-RNAs, pharmacogenomics, genetic approaches to disease intervention, and challenges with opportunities in genome analysis and genomics, etc.The latest developments in the field are discussed, and key concepts are introduced to ensure readers understand advanced concepts and methodologies in the area. The book serves as a valuable guide to the present, emerging, and evolving research methodologies in the field. - Contains chapters written by leading global experts actively engaged in their respective research topic - Provides a wide-ranging collection of 24 chapters related to the field of genomics and genome analysis - Presents a broad picture of current, emerging, and evolving advances and applications of genomics