This introductory text offers a clear exposition of the algorithmic                  principles driving advances in bioinformatics. Accessible to students in both                  biology and computer science, it strikes a unique balance between rigorous                  mathematics and practical techniques, emphasizing the ideas underlying algorithms                  rather than offering a collection of apparently unrelated problems.The book                  introduces biological and algorithmic ideas together, linking issues in computer                  science to biology and thus capturing the interest of students in both subjects. It                  demonstrates that relatively few design techniques can be used to solve a large                  number of practical problems in biology, and presents this material intuitively.An                  Introduction to Bioinformatics Algorithms is one of the first books on                  bioinformatics that can be used by students at an undergraduate level. It includes a                  dual table of contents, organized by algorithmic idea and biological idea;                  discussions of biologically relevant problems, including a detailed problem                  formulation and one or more solutions for each; and brief biographical sketches of                  leading figures in the field. These interesting vignettes offer students a glimpse                  of the inspirations and motivations for real work in bioinformatics, making the                  concepts presented in the text more concrete and the techniques more                  approachable.PowerPoint presentations, practical bioinformatics problems, sample                  code, diagrams, demonstrations, and other materials can be found at the Author's                  website.

An Introduction to Bioinformatics Algorithms (Computational Molecular Biology) PDF

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