Flower, D. D. R. et al. ed.
Bioinformatics for Immunomics
Springer-Verlag 2009.12
185 pp.(H)
ISBN 1-4419-0539-1
19,400円
Contents
1. Computational Vaccinology/ 2. The Immuno Polymorphism Database/ 3. The IMGT/HLA Database/ 4. Ontology Development for the Immune Epitope Database/ 5. TEPIDAS: A DAS Server for Integrating T-Cell Epitope Annotations/ 6. Databases and Web-Based Tools for Innate Immunity/ 7. Structural Immunoinformatics: Understanding MHC-Peptide-TR Binding/ 8. Discovery of Conserved Epitopes Through Sequence Variability Analyses/ 9. Tunable Detectors for Artificial Immune Systems: From Model to Algorithm/ 10. Defining the Elusive Molecular Self/ 11. A Bioinformatic Platform for a Bayesian, Multiphased, Multilevel Analysis in Immunogenomics/ Index/
* The field of Immunomics has developed within the post-genomic era as a response to the massive amount of biological and immunological data now available to researchers. Immunomics crosses the disciplines of immunology, genomics, proteomics and computational biology and address some fundamental problems in biological and medical research. *
Hubbard, S. J. & Jones, A. R. ed.
Proteome Bioinformatics
Humana Press 2010.1
403 pp.(H)
ISBN 1-60761-443-X
14,400円
Contents
1. An Introduction to Proteome Bioinformatics/ 2. Bioinformatics Methods for Protein Identification Using Peptide Mass Fingerprinting/ 3. Computational Approaches to Peptide Identification via Tandem MS/ 4. Scoring and Validation of Tandem MS Peptide Identification Methods/ 5. Target-Decoy Search Strategy for Mass Spectrometry-Based Proteomics/ 6. Understanding and Exploiting Peptide Fragment Ion Intensities Using Experimental and Informatic Approaches/ 7. Spectral Library Searching for Peptide Identification via Tandem MS/ 8. De Novo Sequencing Methods in Proteomics/ 9. Cross Species Proteomics/ 10. Gene Model Detection Using Mass Spectrometry/ 11. Signal Processing in Proteomics/ 12. A High-Performance Reconfigurable Computing Solution for Peptide Mass Fingerprinting/ 13. Mining Proteomic MS/MS Data for MRM Transitions/ 14. OpenMS and TOPP: Open Source Software for LC-MS Data Analysis/ 15. Trans-Proteomic Pipeline: A Pipeline for Proteomic Analysis/ 16. Informatics and Statistics for Analyzing 2-D Gel Electrophoresis Images/ 17. Automated Generic Analysis Tools for Protein Quantitation Using Stable Isotope Labeling/ 18. An Overview of Label-Free Quantitation Methods in Proteomics by Mass Spectrometry/ 19. The PeptideAtlas Project/ 20. Using the PRIDE Proteomics Identifications Database for Knowledge Discovery and Data Analysis/ 21. Molecular Interactions and Data Standardisation/ 22. Mass Spectrometer Output File Format mzML/ 23. Managing Experimental Data Using FuGE/ 24. Proteomics Data Collection (ProDaC): Publishing and Collecting Proteomics Data Sets in Public Repositories Using Standard Formats/ 25. Computational Resources for the Prediction and Analysis of Native Disorder in Proteins/ Index/ *
Lee, J. K.
Statistical Bioinformatics
For Biomedical and Life Science Researchers
Blackwell Pub. 2010.2
384 pp.(P)
ISBN 0-471-69272-7
11,700円
Contents
1. Road to Statistical Bioinformatics/ 2. Probability concepts and distributions for analyzing large biological data/ 3. Quality control of high throughput biological data/ 4. Statistical testing and significance for large biological data analysis/ 5. Advance statistical modeling and inference on large biological data/ 6. Clustering: unsupervised learning in large screening biological data/ 7. Classification: supervised learning in large screening biological data/ 8. Multi-dimensional analysis and visualization on large biological data/ 9. Experimental designs on high throughput biological experiments/ 10. Statistical resampling techniques for large biological data analysis/ 11. Statistical network analysis for biological systems and pathways/ 12. Advances in current statistical genetics and association studies/ 13. R and Bioconductor packages in bioinformatics/ Index/
* This book provides an essential understanding of statistical concepts necessary for the analysis of genomic and proteomic data using computational techniques. The author presents both basic and advanced topics, focusing on those that are relevant to the computational analysis of large data sets in biology.
* Chapters begin with a description of a statistical concept and a current example from biomedical research, followed by more detailed presentation, discussion of limitations, and problems. The book starts with an introduction to probability and statistics for genome-wide data, and moves into topics such as clustering, classification, multi-dimensional visualization, experimental design, statistical resampling, and statistical network analysis. *
Leung, C.- S. et al. ed.
Neural Information Processing
Springer-Verlag 2010.1
898 pp.(P)
ISBN 3-642-10676-5
16,400円
16th International Conference, ICONIP 2009, Bangkok, Thailand, December 1-5, 2009, Proceedings, Part I
Contents
* The two volumes LNCS 5863 and 5864 constitute the proceedings of the 16th International Conference on Neural Information Processing, ICONIP 2009, held in Bangkok, Thailand, in December 2009.
* The 145 regular session papers and 53 special session papers presented were carefully reviewed and selected from 466 submissions. The papers are structured in topical sections on cognitive science and computational neuroscience, neurodynamics, mathematical modeling and analysis, kernel and related methods, learning algorithms, pattern analysis, face analysis and processing, image processing, financial applications, computer vision, control and robotics, evolutionary computation, other emerging computational methods, signal, data and text processing, artificial spiking neural systems: nonlinear dynamics and engineering applications, towards brain-inspired systems, computational advances in bioinformatics, data mining for cybersecurity, evolutionary neural networks: theory and practice, hybrid and adaptive systems for computer vision and robot control, intelligent data mining, neural networks for data mining, and SOM and related subjects and its applications. *
Pasqualini, R. & Arap, W. ed.
Protein Discovery Technologies
Taylor & Francis 2009.7
250 pp.(H)
ISBN 0-8247-5468-9
16,800円
Contents
1. Discovery of Vascular Permeability Factor (VPF, VEGF, VPF/VEGF, VEGF-A165)/ 2. Tumor Necrosis Factor and Its Family Members/ 3. Blood-Brain Barrier Models for Investigating CNS Pathologies/ 4. Identification of Activation of Latent TGF as Principal In Vivo Function of Integrin av 6/ 5. Purification of Basic Fibroblast Growth Factor by Heparin Affinity/ 6. How It Came to Pass that Interferon Was Used as an Angiogenesis Inhibitor/ 7. Use of Phage Display to Discover Inhibitors of Cell Migration/ 8. Combinatorial Mapping of Vascular Zip Codes by In Vivo Phage Display/ 9. Chasing Elusive Cellular Prion Protein Receptor/ 10. Discovery of Molecular Chaperone GRP78 and GRP94 Inducible by Endoplasmic Reticulum Stress/ 11. Origin of Sphingomyelin Pathway/ 12. Endotoxin-Induced Myocarditis: A New Pathophysiological Entity in Systemic Inflammatory Response Syndrome/ 13. Discovery of DOCK180 Superfamily of Exchange Factors/ 14. Discovery of Extracellular Matrix Degradome as Novel Endogenous Regulators of Angiogenesis and Tumor Growth/ 15. RING Finger Proteins as E3 Ubiquitin Ligases/ 16. Discovery of Chemical Nature of Cross-Links in Collagen: A Personal Retrospective/ 17. Discovery of SPARC as Prototype for Matricellular Proteins/ Index/ *
Park, S. J. & Cochran, J. R. ed.
Protein Engineering and Design
CRC Press 2009.9
416 pp.(H)
ISBN 1-4200-7658-2
15,800円
Contents
1.Phage Display Systems for Protein Engineering/ 2.Cell Surface Display Systems for Protein Engineering/ 3.Cell-Free Display Systems for Protein Engineering/ 4.Library Construction for Protein Engineering/ 5.Design and Engineering of Synthetic Binding Proteins Using Nonantibody Scaffolds/ 6.Combinatorial Enzyme Engineering/ 7.Engineering of Therapeutic Proteins/ 8.Protein Engineered Biomaterials/ 9.Protein Engineering Using Noncanonical Amino Acids/ 10.Computer Graphics, Homology Modeling, and Bioinformatics/ 11.Knowledge-Based Protein Design/ 12.Molecular Force Fields/ 13.Rotamer Libraries for Molecular Modeling and Design of Proteins/ 14.Search Algorithms/ 15.Modulating Protein Structure/ 16.Modulation of Intrinsic Properties by Computational Design/ 17.Modulating Protein Interactions by Rational and Computational Design/ 18.Future Challenges of Computational Protein Design/ Index/ *
Mallick, B. K. et al.
Bayesian Analysis of Gene Expression Data
John Wiley & Sons 2009.9
252 pp.(H)
ISBN 0-470-51766-2
11,200円
Contents
1.Bioinformatics and Gene Expression Experiments/ 2.Basic Biology/ 3.Bayesian Linear Models for Gene Expression/ 4.Bayesian Multiple Testing and False Discovery Rate Analysis/ 5.Bayesian Classification for Microarray Data/ 6.Bayesian Hypothesis Inference for Gene Classes/ 7.Unsupervised Classification and Bayesian Clustering/ 8.Bayesian Graphical Models/ 9.Advanced Topics/ Appendix A: Basics of Bayesian Modeling/ Appendix B: Bayesian Computation Tools/ Index/ *
Singleton, P.
Dictionary of DNA and Genome Technology 2nd ed.
DNA・ゲノム技術用語事典 第２版
John Wiley & Sons 2010.4
426 pp.(H)
ISBN 0-470-74732-3
14,800円
Contents
1. Notes for the user/ 2. Ready reference/ 3. Dictionary/ Appendix: alphabetical list of general/ Index/
* DNA technology has a vital role in diverse fields such as criminal investigation and gene therapy - dynamic areas involving many specialised terms and techniques. This unique dictionary offers current, detailed, accessible information to lecturers, researchers, students and technicians throughout the biomedical and related sciences. *
813-26 登録日 10.04.17
