Algorithmic Aspects of Bioinformatics / Hans-Joachim Böckenhauer & Dirk Bongartz.

By:

Böckenhauer, Hans-Joachim

Material type:

TextLanguage: English Publication details: Germany : Springer , 2018.Description: 396p. : illISBN:

9783662564035

Subject(s):

DDC classification:

570.285 HAN

Contents:

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.

Summary: 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.

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Holdings
Cover image	Item type	Current library	Home library	Collection	Shelving location	Call number	Materials specified	Vol info	URL	Copy number	Status	Notes	Date due	Barcode	Item holds	Item hold queue priority	Course reserves
	General Books	CUTN Central Library Sciences		Non-fiction		570.285 HAN (Browse shelf(Opens below))					Available			51560

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.

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.

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