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Computational Genome Analysis

An Introduction

Language EnglishEnglish
Book Hardback
Book Computational Genome Analysis Richard C. Deonier
Libristo code: 01385641
Publishers Springer, Berlin, August 2005
Computational Genome Analysis: An Introduction presents the foundations of key problems in computati... Full description
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40 617 Ft
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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.

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About the book

Full name Computational Genome Analysis
Author Richard C. Deonier, Simon Tavare, Michael S. Waterman
Language English
Binding Book - Hardback
Date of issue 2005
Number of pages 540
EAN 9780387987859
ISBN 0387987851
Libristo code 01385641
Publishers Springer, Berlin
Weight 955
Dimensions 169 x 241 x 38

Categories

Medicine & Nursing > Medicine: general issues > Public health & preventive medicine > Epidemiology & medical statistics
Mathematics & Science > Biology, life sciences > Life sciences: general issues > Genetics (non-medical)
Mathematics & Science > Biology, life sciences > Life sciences: general issues > Computational biology / bioinformatics
Computing & Information Technology > Computer science > Mathematical theory of computation > Maths for computer scientists
Mathematics & Science > Mathematics > Probability & statistics
Mathematics & Science > Mathematics > Applied mathematics
Mathematics & Science > Biology, life sciences > Molecular biology
Computing & Information Technology > Business applications > Mathematical & statistical software
Computing & Information Technology > Information technology: general issues
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