Introduction to Mathematical Methods in Bioinformatics
Alexander Isaev
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Description for Introduction to Mathematical Methods in Bioinformatics
Paperback.
This book looks at the mathematical foundations of the models currently in use. All existing books on bioinformatics are software-orientated and they concentrate on computer implementations of mathematical models of biology. This book is unique in the sense that it looks at the mathematical foundations of the models, which are crucial for correct interpretation of the outputs of the models.
This book looks at the mathematical foundations of the models currently in use. All existing books on bioinformatics are software-orientated and they concentrate on computer implementations of mathematical models of biology. This book is unique in the sense that it looks at the mathematical foundations of the models, which are crucial for correct interpretation of the outputs of the models.
Product Details
Format
Paperback
Publication date
2006
Publisher
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Germany
Number of pages
308
Condition
New
Number of Pages
294
Place of Publication
Berlin, Germany
ISBN
9783540219736
SKU
V9783540219736
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
About Alexander Isaev
Alexander Isaev is a senior lecturer in mathematics at The Australian National University, Canberra. His mathematical background is the area of several complex variables. After completing a PhD degree in 1990 at the Moscow State University, he taught at the University of Illinois (Urbana-Champaign) and at Chalmers University of Technology, Göteborg, Sweden. One is his current interests is in applying mathematics ... Read more
Reviews for Introduction to Mathematical Methods in Bioinformatics
From the reviews: "The book has two parts corresponding to two courses. The first part is ‘Sequence Analysis’ … . The second part is ‘Mathematical Background for Sequence Analysis’ … . The book concentrates on the mathematical basics of bioinformatics … . It is a comprehensive guide to bioinformatics, which takes into account that a ... Read more