Download Bioinformatics - from genomes to therapies by Thomas Lengauer PDF

By Thomas Lengauer

Once more, Thomas Lengauer has succeeded in making a finished and immensely helpful bioinformatics source that meets even the excessive criteria of execs within the pharmaceutical and clinical region.

by way of extending the classical software parts of bioinformatics to the newest methods in reading molecular networks and in predicting molecular functionality, this guide serves as a first-stop source for each bioinformatics person within the lifestyles sciences. With contributions through greater than forty of the world's best bioinformaticians, it truly is unrivalled when it comes to clinical authority and accuracy.

the easiest unmarried details resource to be had, written via pros for execs.

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Extra resources for Bioinformatics - from genomes to therapies

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Feil, Gareth Wilson and Paul Swift Part 10 Basic Bioinformatics Technologies 42 Integrating Biological Databases 1525 1525 Zoé Lacroix, Bertram Ludäscher and Robert Stevens XIX XX Contents 43 Visualization of Biological Data 1573 Harry Hochheiser, Kevin W. Eliceiri and Ilya G. Goldberg 44 Using Distributed Data and Tools in Bioinformatics Applications 1627 Robert Stevens, Phillip Lord and Duncan Hull 1651 Part 11 Outlook 45 Future Trends 1651 Thomas Lengauer Index 1687 Name Index 1727 VII Contents Volume 1 Preface XXV List of Contributors XXIX 1 Part 1 Introduction 1 Bioinformatics -- From Genomes to Therapies 1 Thomas Lengauer Part 2 2 Sequencing Genomes 25 Bioinformatics Support for Genome-Sequencing Projects Knut Reinert and Daniel Huson Part 3 3 Sequence Analysis 57 Sequence Alignment and Sequence Database Search 57 Martin Vingron 4 5 Phylogeny Reconstruction 83 Ingo Ebersberger, Arndt von Haeseler and Heiko A.

Second, the book covers the field in substantially more breadth. The different types of available data are discussed more comprehensively and in more detail. On the sequence side, two chapters on RNA have been added. The bioinformatics analysis of evolutionary relationships is addressed in several chapters. The discussion of protein structure has been significantly expanded. There are new sections on molecular networks, mRNA expression data and protein function, covering several chapters each. The disease-specific part of the book has also been expanded, including discussions of bacterial and viral infections.

This book extends this schema in various ways. First, the process line from genome to drug is extended downstream towards the optimization of drug leads and further towards the personalization of drug therapies, which is also beginning to be supported with bioinformatics methods. Second, the book covers the field in substantially more breadth. The different types of available data are discussed more comprehensively and in more detail. On the sequence side, two chapters on RNA have been added. The bioinformatics analysis of evolutionary relationships is addressed in several chapters.

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