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. This book presents formal models in a mathematically precise, yet intuitive manner.

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.

Includes supplementary material: sn.pub/extras

Autorentext

Inhalt
and Basic Algorithms.- Basics of Molecular Biology.- Basic Concepts: Strings, Graphs, and Algorithms.- String Algorithms.- Alignment Methods.- DNA Sequencing.- and Overview.- Physical Mapping.- DNA Sequencing.- Analyzing Biological Data.- Finding Signals in DNA Sequences.- Genome Rearrangements.- Phylogenetic Trees.- Haplotyping.- Higher-Dimensional Structures of Biomolecules.