Jonathan M. Keith: Bioinformatics | Buch

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Cover: 9781493966110 | Bioinformatics | Volume II: Structure, Function, and Applications | xi

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Sprache: Englisch

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Beschreibung

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 detailand 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.

Zusammenfassung

Includes cutting-edge methods and protocols

Provides step-by-step detail essential for reproducible results

Contains key notes and implementation advice from the experts

Inhaltsverzeichnis

3D Computational Modeling of Proteins Using Sparse Paramagnetic NMR Data.- Inferring Function from Homology.- Inferring Functional Relationships from Conservation of Gene Order.- Structural and Functional Annotation of Long Non-Coding RNAs.- Construction of Functional Gene Networks Using Phylogenetic Profiles.- Inferring Genome-Wide Interaction Networks.- Integrating Heterogeneous Datasets for Cancer Module Identification.- Metabolic Pathway Mining.- Analysis of Genome-Wide Association Data.- Adjusting for Familial Relatedness in the Analysis of GWAS Data.- Analysis of Quantitative Trait Loci.- High-Dimensional Profiling for Computational Diagnosis.- Molecular Similarity Concepts for Informatics Applications.- Compound Data Mining for Drug Discovery.- Studying Antibody Repertoires with Next-Generation Sequencing.- Using the QAPgrid Visualization Approach for Biomarker Identification of Cell-Specific Transcriptomic Signatures.- Computer-Aided Breast Cancer Diagnosis with Optimal Feature Sets: Reduction Rules and Optimization Techniques.- Inference Method for Developing Mathematical Models of Cell Signaling Pathways Using Proteomic Datasets.- Clustering.- Parameterized Algorithmics for Finding Exact Solutions of NP-Hard Biological Problems.- Information Visualization for Biological Data.

Erscheinungsjahr:	2016
Fachbereich:	Allgemeines
Genre:	Biologie
Rubrik:	Naturwissenschaften & Technik
Medium:	Buch
Seiten:	440
Reihe:	Methods in Molecular Biology
Inhalt:	xi 426 S. 62 s/w Illustr. 26 farbige Illustr. 426 p. 88 illus. 26 illus. in color. With online files/update.
ISBN-13:	9781493966110
ISBN-10:	1493966111
Sprache:	Englisch
Herstellernummer:	978-1-4939-6611-0
Ausstattung / Beilage:	HC runder Rücken kaschiert
Einband:	Gebunden
Redaktion:	Keith, Jonathan M.
Herausgeber:	Jonathan M Keith
Auflage:	2nd ed. 2017
Hersteller:	Springer US Springer New York Methods in Molecular Biology
Maße:	260 x 183 x 30 mm
Von/Mit:	Jonathan M. Keith
Erscheinungsdatum:	29.11.2016
Gewicht:	1,019 kg

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