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AI(Artificial intelligence) --- Artificial intelligence --- Artificial thinking --- Artificiële intelligentie --- Computer science --- Electronic brains --- Informatica --- Informatique --- Intellectronics --- Intelligence [Artificial ] --- Intelligence artificielle --- Intelligent machines --- Kunstmatige intelligentie --- Logic [Symbolic and mathematical ] --- Logica [Symbolische en wiskundige ] --- Logique symbolique et mathémathique --- Machine intelligence --- Thinking [Artificial ] --- Logic, Symbolic and mathematical --- Artificial intelligence. --- Computer science. --- Logic, Symbolic and mathematical. --- logica --- computerarchitectuur --- Cerveaux électroniques --- Machines intelligentes --- Pensée artificielle --- Algebra of logic --- Logic, Universal --- Mathematical logic --- Symbolic and mathematical logic --- Symbolic logic --- Mathematics --- Algebra, Abstract --- Metamathematics --- Set theory --- Syllogism --- Informatics --- Science --- AI (Artificial intelligence) --- Intelligence, Artificial --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers

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There are fundamental principles for problem analysis and algorithm design that are continuously used in bioinformatics. This book concentrates on a clear presentation of these principles, presenting them in a self-contained, mathematically clear and precise manner, and illustrating them with lots of case studies from main fields of bioinformatics (e.g. sequencing and mapping, string storage and manipulation, pattern matching, alignment, gene identification, genome rearrangement, structure prediction, regulatory networks, pseudoknot detection). Emphasis is laid on algorithmic "pearls" of bioinformatics, showing that things may get rather simple when taking a proper view into them. The book closes with a thorough bibliography, ranging from classic research results to very recent findings, providing many pointers for future research. Overall, this volume is ideally suited for a senior undergraduate or graduate course on bioinformatics, with a strong focus on its mathematical and computer science background. This book highlights basic paradigms of problem analysis and algorithm design in the context of core bioinformatics problems. Mathematically demanding themes are put across to the reader by properly chosen representations with the aid of lots of illustrations. (Prof. Dr. Amitava Datta, UWA, Perth, Australia) Written by a theoretical computer scientist, the book perfectly complements standard textbooks from the point of view of problem solving methods continuously applied in bioinformatics. (Prof. Dr. Georg Fuellen, Univ. Greifswald, Germany).

Bioinformatics --- Bioinformatics. --- Computer algorithms. --- Mathematics. --- Bio-informatics --- Biological informatics --- Biology --- Information science --- Computational biology --- Systems biology --- Data processing --- Algorithms --- Computer software. --- Computational Biology/Bioinformatics. --- Algorithm Analysis and Problem Complexity. --- Software, Computer --- Computer systems --- Algorithms. --- Algorism --- Algebra --- Arithmetic --- Foundations