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Book Summary
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
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