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About this book
About this book
This text focuses on using algorithms and discrete mathematics to solve biological problems. It systematically describes biological applications, the corresponding mathematical/computational problems, and various algorithmic solutions. The author also discusses the practical use of many algorithmic methods and describes what algorithms should be used in different situations.
Each chapter contains an overview of the biological problem, a precise definition of the computational problem, a description of various methods, practical issues and further research, references to further reading, and a set of knowledge-testing exercises. Instruction and data for practical exercises are provided on the author's website.
Introduction. Analysis of Algorithm. Suffix Tree and Its Biological Applications. Sequence Comparison. Genome Rearrangement. Sequencing. Phylogenetic Method. Motif Finding. RNA Secondary Structure. Microarray. Protein-Related Problems.
Wing-Kin Sung is an associate professor at the National University of Singapore.
384 pages, 225 black & white illustrations, 16 colour illustrations
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