Algebraic Statistics for Computational Biology
The quantitative analysis of biological sequence data is based on methods from statistics coupled with efficient algorithms from computer science. Algebra provides a framework for unifying many of the seemingly disparate techniques used by computational biologists. This book offers an introduction to this mathematical framework and describes tools from computational algebra for designing new algorithms for exact, accurate results. These algorithms can be applied to biological problems such as aligning genomes, finding genes and constructing phylogenies. As the first book in the exciting and dynamic area, it will be welcomed as a text for self-study or for advanced undergraduate and beginning graduate courses.
1100751666
Algebraic Statistics for Computational Biology
The quantitative analysis of biological sequence data is based on methods from statistics coupled with efficient algorithms from computer science. Algebra provides a framework for unifying many of the seemingly disparate techniques used by computational biologists. This book offers an introduction to this mathematical framework and describes tools from computational algebra for designing new algorithms for exact, accurate results. These algorithms can be applied to biological problems such as aligning genomes, finding genes and constructing phylogenies. As the first book in the exciting and dynamic area, it will be welcomed as a text for self-study or for advanced undergraduate and beginning graduate courses.
110.0
In Stock
5
1

Algebraic Statistics for Computational Biology
434
Algebraic Statistics for Computational Biology
434Hardcover(New Edition)
$110.00
110.0
In Stock
Product Details
ISBN-13: | 9780521857000 |
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Publisher: | Cambridge University Press |
Publication date: | 08/22/2005 |
Edition description: | New Edition |
Pages: | 434 |
Product dimensions: | 7.32(w) x 10.28(h) x 1.10(d) |
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