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MORE ABOUT THIS BOOK
Main description:
In Bioinformatics, leading researchers provide a selection of the most useful and widely applicable methods, able to be applied as is, or with minor variations, to many specific problems. Volume II: Structure, Function and Applications contains methods pertinent to the prediction of protein and RNA structures and the analysis and classification of structures, methods for inferring the function of previously identified genomic elements, chiefly protein-coding genes, medical applications in diagnostics and drug discovery, and "meta-methods" for developers of bioinformatics algorithms. Over 80 authors from around the globe have contributed to the two volumes.
Contents:
Bioinformatics: Volume II: Structure, Function and Applications Section I: Structures Chapter 1. UNAFold: Software for Nucleic Acid Folding and Hybridization Nicholas R. Markham and Michael Zuker Chapter 2. Protein Structure Prediction Bissan Al-Lazikani, Emma E. Hill and Veronica Morea Chapter 3. An Introduction to Protein Contact Prediction Nicholas Hamilton and Thomas Huber Chapter 4. Analysis of Mass Spectrometry Data in Proteomics Rune Matthiesen and Ole N. Jensen Chapter 5. The Classification of Protein Domains Russell L. Marsden and Christine A. Orengo Section II: Inferring Function Chapter 6. Inferring Function from Homology Richard D. Emes Chapter 7. The Rosetta Stone Method Shailesh V. Date Chapter 8. Inferring Functional Relationships from Conservation of Gene Order Gabriel Moreno-Hagelsieb Chapter 9. Phylogenetic Profiling Shailesh V. Date, Jose M Peregrin-Alvarez Chapter 10. Phylogenetic Shadowing: Sequence Comparisons of Multiple Primate Species Dario Boffelli Chapter 11. Prediction of Regulatory Elements Albin Sandelin Chapter 12. Expression and Microarrays Joaquin Dopazo and Fatima Al-Shahrour Chapter 13. Identifying Components of Complexes Nicolas Goffard and Georg Weiller Chapter 14. Integrating Functional Genomics Data Insuk Lee and Edward M. Marcotte Section III: Applications and Disease Chapter 15. Computational Diagnostics with Gene Expression Profiles Claudio Lottaz, Dennis Kostka, Florian Markowetz and Rainer Spang Chapter 16. Analysis of Quantitative Trait Loci MarioFalchi Chapter 17. Molecular Similarity Concepts and Search Calculations Jens Auer and Jurgen Bajorath Chapter 18. Optimization of the MAD Algorithm for Virtual Screening Hanna Eckert and Jurgen Bajorath Chapter 19. Combinatorial Optimization Models for Finding Genetic Signatures from Gene Expression Datasets Regina Berretta, Wagner Costa and Pablo Moscato Chapter 20. Genetic Signatures for a Rodent Model of Parkinson's Disease Using Combinatorial Optimization Methods Mou'ath Hourani, Regina Berretta, Alexandre Mendes and Pablo Moscato Section IV: Analytical and Computational Methods Chapter 21. Developing Fixed-Parameter Algorithms to Solve Combinatorially Explosive Biological Problems Falk Huffner, Rolf Niedermeier and Sebastian Wernicke Chapter 22. Clustering Geoffrey J. McLachlan, R. W. Bean and S. K. Ng Chapter 23. Visualization Falk Schreiber Chapter 24. Constructing Computational Pipelines Mark Halling-Brown and Adrian J. Shepherd Chapter 25. Text mining Andrew B. Clegg and Adrian J. Shepherd
PRODUCT DETAILS
Publisher: Springer (Humana Press Inc.)
Publication date: May, 2011
Pages: 520
Weight: 1259g
Availability: Available
Subcategories: Biochemistry, General Issues, Genetics
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