Bioinformatics for Biologists

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Cambridge University PressEdition: Illustrated, 9/15/2011EAN 9781107648876, ISBN10: 1107648874Paperback, 394 pages, 24.6 x 18.8 x 1.8 cmLanguage: EnglishThe 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.PrefaceAcknowledgementsIntroduction Pavel Pevzner and Ron ShamirPart I. Genomes1. Identifying the genetic basis of disease Vineet Bafna2. Pattern identification in a haplotype block Kun-Mao Chao3. Genome reconstructiona puzzle with a billion pieces Phillip Compeau and Pavel Pevzner4. Dynamic programmingone algorithmic key for many biological locks Mikhail Gelfand5. Measuring evidencewho's your daddy? Christopher LeePart II. Gene Transcription and Regulation6. How do replication and transcription change genomes? Andrei Grigoriev7. Modeling regulatory motifs Sridhar Hannenhalli8. How does influenza virus jump from animals to humans? Haixu TangPart III. Evolution9. Genome rearrangements Steffen Heber and Brian Howard10. The crisis of the tree of life concept and the search for order in the phylogenetic forest Eugene Koonin, Pere Puigbò and Yuri Wolf11. Reconstructing the history of large-scale genomic changesbiological questions and computational challenges Jian MaPart IV. Phylogeny12. Figs, wasps, gophers, and licea computational exploration of coevolution Ran Libeskind-Hadas13. Big cat phylogenies, consensus trees, and computational thinking Seung-Jil Sun and Tiffani Williams14. Algorithm design for large-scale phylogeny Tandy WarnowPart V. Regulatory Networks15. Biological networks uncover evolution, disease, and gene functions Nataša Pržulj16. Regulatory network inference Russell SchwartzIndex. Show more