TY  - BOOK
AU  - Böckenhauer, Hans-Joachim
TI  - Algorithmic Aspects of Bioinformatics
SN  - 9783662564035
U1  - 570.285 
PY  - 2018///
CY  - Germany
PB  - Springer
KW  - Bioinformatics—Mathematical models
KW  - Bioinformatics—Data processing
KW  - Algorithms
KW  - Computational biology
N1  - Table of contents (13 chapters)
Front Matter
Pages I-X
Introduction
Introduction
Pages 1-4
Introduction and Basic Algorithms
Front Matter
Pages 5-5
Basics of Molecular Biology
Pages 7-21
Basic Concepts: Strings, Graphs, and Algorithms
Pages 23-35
String Algorithms
Pages 37-79
Alignment Methods
Pages 81-115
DNA Sequencing
Front Matter
Pages 117-117
Introduction and Overview
Pages 119-121
Physical Mapping
Pages 123-169
DNA Sequencing
Pages 171-209
Analyzing Biological Data
Front Matter
Pages 211-211
Finding Signals in DNA Sequences
Pages 213-236
Genome Rearrangements
Pages 237-256
Phylogenetic Trees
Pages 257-286
Haplotyping
Pages 287-317
Higher-Dimensional Structures of Biomolecules
Pages 319-375
N2  - 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
ER  -