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Zusatztext This aptly titled book is a timely publication that details several algorithms widely used in bioinformatics. ? This work can serve as a reference guide for students and researchers attempting to implement or learn algorithms relevant to bioinformatics. Although some concepts referenced in the book specifically target advanced bioinformatics experts! general users should not be discouraged from reading this work. ?Summing Up: Recommended.-CHOICE! June 2010? an excellent guide. The book is appropriate for advanced undergraduates and graduates in mathematics or CS. ? The 27-page introduction is the most efficient concept-building summary and explication of molecular biology that I have encountered. ? Section 1.8 sets a new! high standard for science-history exposition! covering Gregor Mendel to the present. ?This self-contained! well-designed! and well-written book! with its many good exercises! bibliographic references! and photo-quality figures! is an ideal introduction to bioinformatics.-George Hacken! Computing Reviews! March 2010 Informationen zum Autor Wing-Kin Sung is an associate professor at the National University of Singapore. Klappentext This classroom-tested text provides an in-depth introduction to the algorithmic techniques applied in bioinformatics. For each topic, the author clearly details the biological motivation, precisely defines the corresponding computational problems, and includes detailed examples to illustrate each algorithm. The text covers basic molecular biology concepts, sequence similarity, the suffix tree, sequence databases, sequence and genome alignment, the phylogenetic tree, genome rearrangement, motif finding, the secondary structure of RNA, peptide sequencing, and population genetics. Supplementary material is provided on the author's website and a solutions manual is available for qualifying instructors. Zusammenfassung Presents an introduction to the algorithmic techniques applied in bioinformatics. For each topic, this title details the biological motivation, defines the corresponding computational problems, and includes examples to illustrate each algorithm. Inhaltsverzeichnis Introduction to Molecular Biology. Sequence Similarity. Suffix Tree. Database Search. Multiple Sequence Alignment. Genome Alignment. Phylogeny Reconstruction. Phylogeny Comparison. Genome Rearrangement. Motif Finding. RNA Secondary Structure Prediction. Peptide Sequencing. Population Genetics. References. Index. ...
