Table of contents
About this book
Advances in bioinformatics and systems biology require improved computational methods for analyzing data, while progress in molecular biology is in turn influencing the development of computer science methods. This book introduces some key problems in bioinformatics, discusses the models used to formally describe these problems, and analyzes the algorithmic approaches used to solve them.
After introducing the basics of molecular biology and algorithmics, Part I explains string algorithms and alignments; Part II details the field of physical mapping and DNA sequencing; and Part III examines the application of algorithmics to the analysis of biological data. Exciting application examples include predicting the spatial structure of proteins, and computing haplotypes from genotype data.
This book describes topics in detail and presents formal models in a mathematically precise, yet intuitive manner, with many figures and chapter summaries, detailed derivations, and examples. It is well suited as an introduction into the field of bioinformatics, and will benefit students and lecturers in bioinformatics and algorithmics, while also offering practitioners an update on current research topics.
- Book Title Algorithmic Aspects of Bioinformatics
- Series Title Natural Computing Series
- DOI https://doi.org/10.1007/978-3-540-71913-7
- Copyright Information Springer-Verlag Berlin Heidelberg 2007
- Publisher Name Springer, Berlin, Heidelberg
- eBook Packages Computer Science Computer Science (R0)
- Hardcover ISBN 978-3-540-71912-0
- Softcover ISBN 978-3-642-09100-1
- eBook ISBN 978-3-540-71913-7
- Series ISSN 1619-7127
- Edition Number 1
- Number of Pages X, 396
- Number of Illustrations 118 b/w illustrations, 0 illustrations in colour
- Additional Information Original German edition published by Teubner Verlag
Theory of Computation
Algorithm Analysis and Problem Complexity
- Buy this book on publisher's site
From the reviews:
"This book is a worthy leader in what will surely be a torrent of high-level texts inspired by the success of DNA containing genetic instructions. … this book is a highly recommended compendium of applications for geneticists and computer scientists. … The computer science theory is developed in this text with … numerous simple illustrations from DNA." (Harvey Cohn, ACM Computing Reviews, Vol. 49 (12), December, 2008)