Paramètres
- 555pages
- 20 heures de lecture
En savoir plus sur le livre
This book 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 features a free download of the R software statistics package and the text provides great crossover material that is interesting and accessible to students in biology, mathematics, statistics and computer science. More than 100 illustrations and diagrams reinforce concepts and present key results from the primary literature. Exercises are given at the end of chapters.
Achat du livre
Computational Genome Analysis. An Introduction, Richard C. Deonier, Simon Tavaré, Michael S. Waterman
- Langue
- Année de publication
- 2005
- product-detail.submit-box.info.binding
- (souple)
Modes de paiement
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- Titre
- Computational Genome Analysis. An Introduction
- Langue
- Anglais
- Éditeur
- Springer New York
- Publié
- 2005
- Format
- souple
- Pages
- 555
- ISBN10
- 1441931627
- ISBN13
- 9781441931627
- Séries
- Mots clés
- Nonfiction, Science et Mathématiques, Sciences naturelles, Biologie, Science
- Évaluation
- 3,6 sur 5
- Description
- This book 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 features a free download of the R software statistics package and the text provides great crossover material that is interesting and accessible to students in biology, mathematics, statistics and computer science. More than 100 illustrations and diagrams reinforce concepts and present key results from the primary literature. Exercises are given at the end of chapters.