Neapolitan, R.E.
Probabilistic Methods for Bioinformatics
Morgan Kaufmann 2009.4
400 pp. (H)
ISBN 0-12-370476-6
8,600円
Contents
1.Probabilistic Informatics/ 2.Probability Basics/ 3.Statistics Basics/ 4.Genetics Basics/ 5.Foundations of Bayesian Networks/ 6.Further Properties of Bayesian Networks/ 7.Learning Bayesian Network Parameters/ 8.Learning Bayesian Network Structure/ 9.Nonmolecular Evolutionary Genetics/ 10.Molecular Evolutionary Genetics/ 11.Molecular Phylogenetics/ 12.Anmalyzing Gene Expression Data/ 13.Genetic Linkage Analysis/ Bibliography/ Index/ *
Mitra, S.
Introduction to Machine Learning and Bioinformatics
CRC Press 2008.6
384 pp.(H)
ISBN 1-58488-682-X
8,700円
Contents
1.Introduction/ 2.The Biology of a Living Organism/ 3.Probabilistic and Model-Based Learning/ 4.Classification Techniques/ 5.Unsupervised Learning Techniques/ 6.Computational Intelligence in Bioinformatics/ 7.Connections/ 8.Machine Learning in Structural Biology/ 9.Soft Computing in Biclustering/ 10.Bayesian Methods for Tumor Classification/ 11.Modeling and Analysis of iTRAQ Data/ 12.Mass Spectrometry Classification/ Index/
* Focusing on both fundamentals and recent advances, Introduction to Machine Learning and Bioinformatics presents an informative and accessible account of the ways in which these two increasingly intertwined areas relate to each other. *
Astakhov, V. ed.
Biomedical Informatics
Humana Press 2009.8
270 pp.(H)
ISBN 1-934115-63-0
13,800円
Contents
1. Management of Information in Distributed Biomedical Collaboratories/ 2. Enabling Public Data Sharing: Encouraging Scientific Discovery and Education/ 3. Mediator Infrastructure for Information Integration And Semantic Data Integration Environment for Biomedical Research/ 4. System Biology of Gene Regulation/ 5. Current computational methods for prioritizing candidate regulatory polymorphisms/ 6. Methods of information geometry in computational system biology (Consistency between Chemical and Biological Evolution)/ 7. Protein Structure Prediction based on Sequence Similarity/ 8. Applications of Bioinformatics to Protein Structures - How Protein Structure and Bioinformatics Overlap/ 9. Knowledge Discovery via Machine Learning for Neuro-degenerative Disease Researchers/ 10. Brain Model of Text Animation as a Data Mining Strategy/ 11. Processes Parallelization Using "Grid Wizard Enterprise"/ 12. Single Sign-On in a Grid Portal/ Index/
* In past decades, the area of bioinformatics has proved to be both dynamic and vital, producing a wide spectrum of novel approaches and assuming an increasingly important role in modern bio-technological development. In Biomedical Informatics, expert researchers explore cutting-edge new advances in the field, providing an overview of novel cyberinfrastructures which are currently under development in various bio-medical centers across the world. Chapters demonstrateﾊ various architectures for large-scale collaboration, offer modern approaches currently used in various areas of bioinformatics, and highlight the software challenges associated with large-scale biomedical informatics. Composed in the highly successful Methods in Molecular Biology series format, chapters include a brief introduction, detailed methods, and a Notes section which shares tips on troubleshooting and avoiding known pitfalls. *
Zhang, A.
Protein Interaction Networks
Computational Analysis
Cambridge University Press 2009.4
292 pp.(H)
ISBN 0-521-88895-6
9,200円
Contents
1. Introduction/ 2. Experimental approaches to generation of protein-protein interaction data/ 3. Computational methods for the prediction of protein-protein interactions/ 4. Basic properties and measurements of protein interaction networks/ 5. Modularity analysis of protein interaction networks/ 6. Topological analysis of protein interaction networks Woo-chang Hwang/ 7. Distance-based modularity analysis/ 8. Graph-theoretic approaches to modularity analysis/ 9. Flow-based analysis of protein interaction networks/ 10. Statistics and machine learning based analysis of protein interaction networks Pritam Chanda and Lei Shi/ 11. Integration of gene ontology into the analysis of protein interaction networks Young-rae Cho/ 12. Data fusion in the analysis of protein interaction networks/ 13. Conclusion/ Index/
* The analysis of protein-protein interactions is fundamental to the understanding of cellular organization, processes, and functions. Recent large-scale investigations of protein-protein interactions using such techniques as two-hybrid systems, mass spectrometry, and protein microarrays have enriched the available protein interaction data and facilitated the construction of integrated protein-protein interaction networks. *
Kukol, A. ed.
Molecular Modeling of Proteins
Humana Press 2008.2
390 pp.(H)
ISBN 1-58829-864-7
13,800円
Contents
1.Methodology/ 2.Free Energy Calculations/ 3.Molecular Modeling of Membrane Proteins/ 4.Protein Structure Determination/ 5.Conformational Change/ 6.Applications to Drug Design/ Index/ *
Esteller, M. ed.
Epigenetics in Biology and Medicine
生物学と医学におけるエピジェネティクス
CRC Press 2008.9
312 pp.(H)
ISBN 0-8493-7289-5
16,200円
Contents
1.An Introduction to Epigenetics/ 2.Epigenetics and DNA Methylation/ 3.Epigenetics, Histones, and Chromatin/ 4.Epigenetics and Cancer: DNA Methylation/ 5.Epigenetics and Cancer: Histone Modifications/ 6.Epigenetic Drugs: DNA Methylation Inhibitors/ 7.Epigenetic Drugs: Histone Deacetylase Inhibitors/ 8.Epigenetics and Mental Health Disorders/ 9.Epigenetics and Cardiovascular Disease/ 10.Epigenetics and Imprinting/ 11.Epigenetics and Immunity/ 12.Epigenetics and Cloning/ 13.Epigenetics, Plants, and Agriculture/ 14.Epigenetics and Cancer: Chromatin Remodelling/ 15.Epigenetics and Its Genetic Syndromes/ 16.Epigenetics, Environment, and Diet/ 17.Epigenetics, Epigenomes, and Epigenomics/
* Anomalous epigenetic patterns touch many areas of study including biomedical, scientific, and industrial. With perspectives from international experts, this resource offers an all-inclusive overview of epigenetics, which bridge DNA information and function by regulating gene expression without modifying the DNA sequence itself. *
Nussinov, R. & Schreiber, G. ed.
Computational Protein-Protein Interactions
CRC Press 2009.6
343 pp.(H)
ISBN 1-4200-7005-3
14,800円
Contents
1.Computational design of protein-protein interactions/ 2.Molecular Mimicry and Competitive Recruitment/ 3.Intrinsically unstructured proteins/ 4.The molecular architecture of protein-protein binding sites/ 5.Characteristic of protein-protein recognition/ 6.Protein-Protein Docking/ 7.Identification of hot spots within druggable binding regions/ 8.Hot-spot mimicry of ac cytokine receptor/ 9.Chaperone-related immune dysfunction/ 10.Recognition proteins of the innate immune system/ 11.Epitope mapping using combinatorial phage-display libraries/ 12.Identification of conserved protein complexes based on a model of protein network evolution/ 13.Interaction sites identified from sequences/ 14.Thermophilic Protein Complex Stabilized by Topological Interlinked/ 15.Protein interface recognition for structural proteomics/ 16.Strategies to search and design stabilizers of protein-protein interactions/ 17.Dynamics and allostery in protein-protein interactions/ Index/ *
813-25 登録日 09.09.01
