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Life in a post-genomic age has the promise to revolutionize our understanding of how our genes shape who we are, how our genome evolved, and how we function. There are new possibilities for an improved quality of life as we exploit new knowledge to design novel, more effective drugs. Central to these possibilities being realized is one of the most important information-gathering, data-mining, and knowledge-building tools in current research and healthcare development: bioinformatics. An Introduction to Bioinformatics introduces students to the immense power of bioinformatics as a set of scientific tools. The book explains how to access the data archives of genomes and proteins, and the kinds of questions these data and tools can answer: how to make inferences from the data archives, to make connections among them, and to derive useful and interesting predictions. Blending factual content with many opportunities for active learning, Introduction to Bioinformatics offers a truly reader-friendly way to get to grips with this subject, making it the ideal resource for anyone new to the field. Online Resource Centre: The Online Resource Centre features the following materials: For lecturers (password protected): * Figures from the book available to download, to facilitate lecture slide preparation For students: * Hyperlinked bibliography - online links to articles referenced in the book, encouraging student engagement with the primary literature * Links to PDB structures of all proteins cited in the book, to enable students to investigate the 3D structures of proteins in a visual, interactive way * Data from the book in computer-readable form, which is available for instant use to facilitate hands-on learning by the student - Guidance to help students answer problems from the text, to support and encourage self-directed learning
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"An excellent beginner's guide to bioinformatics" Amazon.co.uk, May 2002 "Introduction to Bioinformatics is a firstrate response to these demands and provides lucid and well-written explanations of how and why to perform bioinformatic analyses. Arthur Lesk clearly explains the underlying logic of sequence analyses and illustrates what algorithms do, often by use of helpful analogies to everyday life" Times Higher Education Supplement, April 2003About the Author:
Arthur M. Lesk is Professor of Biochemistry and Molecular Biology at the Pennsylvania State University, USA.
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Book Description Paperback. Condition: Brand New. New. Seller Inventory # dhtispastis298
Book Description Paperback. Condition: Brand New. New. Seller Inventory # dhtispastis299
Book Description Condition: new. Seller Inventory # think0199208042
Book Description Oxford University Press. Paperback / softback. Condition: New. New copy - Usually dispatched within 3 working days. Seller Inventory # B9780199208043
Book Description Oxford University Press, 2008. Paperback. Condition: New. Brand New!. Seller Inventory # VIB0199208042