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The computational education of biologists is changing to prepare students for facing the complex datasets of today's life science research. In this concise textbook, the authors' fresh pedagogical approaches lead biology students from first principles towards computational thinking. A team of renowned bioinformaticians take innovative routes to introduce computational ideas in the context of real biological problems. Intuitive explanations promote deep understanding, using little mathematical formalism. Self-contained chapters show how computational procedures are developed and applied to central topics in bioinformatics and genomics, such as the genetic basis of disease, genome evolution or the tree of life concept. Using bioinformatic resources requires a basic understanding of what bioinformatics is and what it can do. Rather than just presenting tools, the authors - each a leading scientist - engage the students' problem-solving skills, preparing them to meet the computational challenges of their life science careers.

Tabla de contenidos provista por Syndetics

• Preface
• Acknowledgements
• Introduction
• Part I Genomes
• 1 Identifying the genetic basis of disease
• 2 Pattern identification in a haplotype block
• 3 Genome reconstruction: a puzzle with a billion pieces
• 4 Dynamic programming: one algorithmic key for many biological locks
• 5 Measuring evidence: who's your daddy?
• Part II Gene Transcription and Regulation
• 6 How do replication and transcription change genomes?
• 7 Modeling regulatory motifs
• 8 How does influenza virus jump from animals to humans?
• Part III Evolution
• 9 Genome rearrangements
• 10 The crisis of the tree of life concept and the search for order in the phylogenetic forest
• 11 Reconstructing the history of large-scale genomic changes: biological questions and computational challenges
• Part IV Phylogeny
• 12 Figs, wasps, gophers, and lice: a computational exploration of coevolution
• 13 Big cat phylogenies, consensus trees, and computational thinking
• 14 Algorithm design for large-scale phylogeny
• Part V Regulatory Networks
• 15 Biological networks uncover evolution, disease, and gene functions
• 16 Regulatory network inference
• Index

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CHOICE Review

Bioinformatics for Biologists, edited by Pevzner (Univ. of California, San Diego) and Shamir (Tel Aviv Univ., Israel), is a very well-written book that caters to the needs of a growing number of biology students who want to understand this important subject. With the explosion of genomics data and rapid advances in new-generation sequencing techniques, it is imperative for scientists to apply bioinformatics tools in their day-to-day research work. The book, with contributions from eminent bioinformaticians in the field, is divided into five parts and 16 chapters. It broadly discusses bioinformatics algorithms and methods in studying genomics, gene regulatory motifs, gene evolution, and regulatory networks. The book can serve as a textbook for graduate and undergraduate-level courses, and is also useful for all those who are involved in handling genomics data. Summing Up: Highly recommended. Academic and professional readers, all levels. V. Mathura Roskamp Institute, Open University