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Can I read Computational Genome Analysis: An Introduction (Statistics for Biology & Health S) on EtoBox?
Computational Genome Analysis: An Introduction (Statistics for Biology & Health S) by Deonier R.C., Waterman M.S., Tavaré S. is a nonfiction available to read on EtoBox.
What is Computational Genome Analysis: An Introduction (Statistics for Biology & Health S) about?
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.
Who reads Computational Genome Analysis: An Introduction (Statistics for Biology & Health S)?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Deonier R.C., Waterman M.S., Tavaré S.
- Publisher
- Springer US
- Published
- 2005
- Language
- EN
- ISBN
- 9786611335564
- Category
- nonfiction
- Subjects
- Mathematics, Science, Computer Science
Other editions & translations
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