Bioinformatics
Humana Press Inc. (Verlag)
978-1-4939-6612-7 (ISBN)
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Comprehensive and practical, Bioinformatics, Volume II: Structure, Function, and Applications is an essential resource for graduate students, early career researchers, and others who are in the process of integrating new bioinformatics methods into their research.
Preface...
Table of Contents...
Contributing Authors...
Part I Structure, Function, Pathways and Networks
1. 3D Computational Modeling of Proteins Using Sparse Paramagnetic NMR Data
Kala Bharath Pilla, Gottfried Otting, and Thomas Huber
2. Inferring Function from Homology
Tom C. Giles and Richard D. Emes
3. Inferring Functional Relationships from Conservation of Gene Order
Gabriel Moreno-Hagelsieb
4. Structural and Functional Annotation of Long Non-Coding RNAs
Martin A. Smith and John S. Mattick
5. Construction of Functional Gene Networks Using Phylogenetic Profiles
Junha Shin and Insuk Lee
6. Inferring Genome-Wide Interaction Networks
Goekmen Altay and Onur Mendi
7. Integrating Heterogeneous Datasets for Cancer Module Identification
A.K.M. Azad
8. Metabolic Pathway Mining
Jan M. Czarnecki and Adrian J. Shepherd
Part II Applications
9. Analysis of Genome-Wide Association Data
Allan F. McRae
10. Adjusting for Familial Relatedness in the Analysis of GWAS Data
Russell Thomson and Rebekah McWhirter
11. Analysis of Quantitative Trait Loci
David L. Duffy
12. High-Dimensional Profiling for Computational Diagnosis
Claudio Lottaz, Wolfram Gronwald, Rainer Spang, and Julia C. Engelmann
13. Molecular Similarity Concepts for Informatics Applications
Jurgen Bajorath
14. Compound Data Mining for Drug Discovery
Jurgen Bajorath
15. Studying Antibody Repertoires with Next-Generation Sequencing
William D. Lees and Adrian J. Shepherd
16. Using the QAPgrid Visualization Approach for Biomarker Identification of Cell-Specific Transcriptomic Signatures
Chloe Warren, Mario Inostroza-Ponta, and Pablo Moscato
17. Computer-Aided Breast Cancer Diagnosis with Optimal Feature Sets: Reduction Rules and Optimization Techniques
Luke Mathieson, Alexandre Mendes, John Marsden, Jeffrey Pond, and Pablo Moscato
Part III Computational Methods
18. Inference Method for Developing Mathematical Models of Cell Signaling Pathways Using Proteomic Datasets
Tianhai Tian and Jiangning Song
19. Clustering
Geoffrey J. McLachlan, Richard W. Bean and Shu-Kay Ng
20. Parameterized Algorithmics for Finding Exact Solutions of NP-Hard Biological Problems
Falk Huffner, Christian Komusiewicz, Rolf Niedermeier, and Sebastian Wernicke
21. Information Visualization for Biological Data
Tobias Czauderna and Falk Schreiber
Erscheinungsdatum | 20.09.2018 |
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Reihe/Serie | Methods in Molecular Biology ; 1526 |
Zusatzinfo | 24 Tables, color; 26 Illustrations, color; 62 Illustrations, black and white; XI, 426 p. 88 illus., 26 illus. in color. |
Verlagsort | Totowa, NJ |
Sprache | englisch |
Maße | 178 x 254 mm |
Themenwelt | Mathematik / Informatik ► Informatik |
Naturwissenschaften ► Biologie ► Genetik / Molekularbiologie | |
Schlagworte | Clustering • computational diagnostics • drug discovery • genome-wide association data • Genotype • modeling and interference • Phenotype • systems of interacting elements |
ISBN-10 | 1-4939-6612-X / 149396612X |
ISBN-13 | 978-1-4939-6612-7 / 9781493966127 |
Zustand | Neuware |
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