Bioinformatics : Structure, function, and applications

著者

• Keith, Jonathan M

書誌事項

Bioinformatics : Structure, function, and applications

edited by Jonathan M. Keith

（Methods in molecular biology / John M. Walker, series editor, 1526）（Springer protocols）

Humana Press, c2017

2nd ed

• v.2 : pbk

注記

"Softcover reprint of the hardcover 2st edition 2016"--T.p.verso

Includes bibliographical references and indexes

内容説明・目次

内容説明

This second edition provides updated and expanded chapters covering a broad sampling of useful and current methods in the rapidly developing and expanding field of bioinformatics. Bioinformatics, Volume II: Structure, Function, and Applications, Second Edition is comprised of three sections: Structure, Function, Pathways and Networks; Applications; and Computational Methods. The first section examines methodologies for understanding biological molecules as systems of interacting elements. The Applications section covers numerous applications of bioinformatics, focusing on analysis of genome-wide association data, computational diagnostic, and drug discovery. The final section describes four broadly applicable computational methods that are important to this field. These are: modeling and inference, clustering, parameterized algorithmics, and visualization. As a volume in the highly successful Methods in Molecular Biology series, chapters feature the kind of detail and expert implementation advice to ensure positive results. 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.

目次

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

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詳細情報

• NII書誌ID(NCID): BD04594445
• ISBN:
  • 9781493982509
• 出版国コード: us
• タイトル言語コード: eng
• 本文言語コード: eng
• 出版地: New York
• ページ数/冊数: xi, 426 p.
• 大きさ: 26 cm
• 親書誌ID:
  • BA10794673
  • BA88873632