000			02637nam a22002417a 4500
003			CUTN
005			20250531122354.0
008			250531b |||||||| |||| 00| 0 eng d
020			_a9783662564035
041			_aEnglish
082			_a570.285 _bHAN
100			_aBöckenhauer, Hans-Joachim
245			_aAlgorithmic Aspects of Bioinformatics / _cHans-Joachim Böckenhauer & Dirk Bongartz.
260			_aGermany : _bSpringer , _c2018.
300			_a396p. : _bill ;
505			_aTable 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.
520			_aAdvances 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.
650			_aBioinformatics—Mathematical models
650			_aBioinformatics—Data processing
650			_aAlgorithms
650			_aComputational biology
942			_2ddc _cBOOKS
999			_c44518 _d44518