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Library | Item Barcode | Call Number | Material Type | Item Category 1 | Status |
|---|---|---|---|---|---|
Searching... | 30000010297218 | QH324.2 B5474 2011 | Open Access Book | Book | Searching... |
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Summary
Summary
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.
Reviews 1
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
Table of Contents
| Preface |
| Acknowledgements |
| IntroductionPavel Pevzner and Ron Shamir |
| Part I Genomes |
| 1 Identifying the genetic basis of diseaseVineet Bafna |
| 2 Pattern identification in a haplotype blockKun-Mao Chao |
| 3 Genome reconstruction: a puzzle with a billion piecesPhillip Compeau and Pavel Pevzner |
| 4 Dynamic programming: one algorithmic key for many biological locksMikhail Gelfand |
| 5 Measuring evidence: who's your daddy?Christopher Lee |
| Part II Gene Transcription and Regulation |
| 6 How do replication and transcription change genomes?Andrei Grigoriev |
| 7 Modeling regulatory motifsSridhar Hannenhalli |
| 8 How does influenza virus jump from animals to humans?Haixu Tang |
| Part III Evolution |
| 9 Genome rearrangementsSteffen Heber and Brian Howard |
| 10 The crisis of the tree of life concept and the search for order in the phylogenetic forestEugene Koonin and Pere Puigbò and Yuri Wolf |
| 11 Reconstructing the history of large-scale genomic changes: biological questions and computational challengesJian Ma |
| Part IV Phylogeny |
| 12 Figs, wasps, gophers, and lice: a computational exploration of coevolutionRan Libeskind-Hadas |
| 13 Big cat phylogenies, consensus trees, and computational thinkingSeung-Jil Sun and Tiffani Williams |
| 14 Algorithm design for large-scale phylogenyTandy Warnow |
| Part V Regulatory Networks |
| 15 Biological networks uncover evolution, disease, and gene functionsNataša Przulj |
| 16 Regulatory network inferenceRussell Schwartz |
| Index |
