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.
Algebraic Statistics for Computational Biology Free Download
February 21, 2022
You may also like
This reference introduces a variety of mathematical models for biological systems, and presents the mathematical theory and techniques useful in analyzing...
Morphological, biological, biochemical and physiological characteristics have been used for the detection, identification and differentiation of fungal...
Virtually every area of research associated with sharks and their relatives has been strongly impacted by the revolutionary growth in technology. The questions...
Recent Posts
- Algebra 3 Homological Algebra and Its Applications by Ramji Lal PDF
- Heat Transfer Physics 2nd Edition By Massoud Kaviany PDF
- Lavin’s Radiography for Veterinary Technicians, 6th Edition by Marg Brown PDF
- Principles of Physics, 10th Edition by David Halliday PDF
- The Dog Behavior Problem Solver by Teoti Anderson PDF
Add Comment