Computational Molecular Biology is an emerging discipline which is increasingly engaging the attention of computer scientists, mathematicians, and biologists.

This text covers a broad range of algorithmic and combinatorial topics and shows how they are connected to molecular biology and biotechnology. The book has substantial “computational biology without formulas” component that gives biological motivation and computational ideas in a simple way. This simplified presentation of biology and computing aims to make the book accessible to computer scientists entering this new area and to biologists who do not have sufficient background for more involved computational techniques. Every chapter has an introductory section that describes both computational and biological ideas without any formulas.

The book concentrates on computational ideas rather than details of the algorithms and makes special efforts to present these ideas in an easy-to-understand manner.

KEY FEATURES

• The text covers new ideas—for example, Computational Proteomics, Genome Rearrangements, Sequence Comparison and DNA Arrays—as well as old ideas, for instance, Restriction Mapping, to show that a synthesis of both is necessary for a holistic understanding of the subject. • The last section in each chapter briefly describes the important recent developments that are outside the body of the chapter. • Large number of diagrams are provided to illustrate the concepts. • One chapter is exclusively devoted to Problems. • The exhaustive Bibliography would fuel further research into the subject.

This up-to-date and well-researched study would prove to be extremely useful to students of molecular biology, bioinformatics, computer science, and mathematics. Besides, professionals in the field should value it for the new insights it provides into the subject.