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Bioinformatics

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Cover of 'Bioinformatics'

Table of Contents

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    Book Overview
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    Chapter 1 3D Computational Modeling of Proteins Using Sparse Paramagnetic NMR Data.
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    Chapter 2 Inferring Function from Homology.
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    Chapter 3 Inferring Functional Relationships from Conservation of Gene Order.
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    Chapter 4 Structural and Functional Annotation of Long Noncoding RNAs.
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    Chapter 5 Construction of Functional Gene Networks Using Phylogenetic Profiles.
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    Chapter 6 Inferring Genome-Wide Interaction Networks.
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    Chapter 7 Integrating Heterogeneous Datasets for Cancer Module Identification.
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    Chapter 8 Metabolic Pathway Mining.
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    Chapter 9 Analysis of Genome-Wide Association Data.
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    Chapter 10 Adjusting for Familial Relatedness in the Analysis of GWAS Data.
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    Chapter 11 Analysis of Quantitative Trait Loci.
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    Chapter 12 High-Dimensional Profiling for Computational Diagnosis.
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    Chapter 13 Molecular Similarity Concepts for Informatics Applications.
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    Chapter 14 Compound Data Mining for Drug Discovery.
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    Chapter 15 Studying Antibody Repertoires with Next-Generation Sequencing.
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    Chapter 16 Using the QAPgrid Visualization Approach for Biomarker Identification of Cell-Specific Transcriptomic Signatures.
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    Chapter 17 Computer-Aided Breast Cancer Diagnosis with Optimal Feature Sets: Reduction Rules and Optimization Techniques.
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    Chapter 18 Inference Method for Developing Mathematical Models of Cell Signaling Pathways Using Proteomic Datasets.
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    Chapter 19 Clustering.
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    Chapter 20 Parameterized Algorithmics for Finding Exact Solutions of NP-Hard Biological Problems.
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    Chapter 21 Information Visualization for Biological Data.
Attention for Chapter 15: Studying Antibody Repertoires with Next-Generation Sequencing.
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Chapter title
Studying Antibody Repertoires with Next-Generation Sequencing.
Chapter number 15
Book title
Bioinformatics
Published in
Methods in molecular biology, January 2017
DOI 10.1007/978-1-4939-6613-4_15
Pubmed ID
Book ISBNs
978-1-4939-6611-0, 978-1-4939-6613-4
Authors

William D. Lees, Adrian J. Shepherd

Editors

Jonathan M. Keith

Abstract

Next-generation sequencing is making it possible to study the antibody repertoire of an organism in unprecedented detail, and, by so doing, to characterize its behavior in the response to infection and in pathological conditions such as autoimmunity and cancer. The polymorphic nature of the repertoire poses unique challenges that rule out the use of many commonly used NGS methods and require tradeoffs to be made when considering experimental design.We outline the main contexts in which antibody repertoire analysis has been used, and summarize the key tools that are available. The humoral immune response to vaccination has been a particular focus of repertoire analyses, and we review the key conclusions and methods used in these studies.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 33%
Student > Ph. D. Student 3 25%
Student > Master 1 8%
Unknown 4 33%
Readers by discipline Count As %
Agricultural and Biological Sciences 4 33%
Biochemistry, Genetics and Molecular Biology 3 25%
Physics and Astronomy 1 8%
Unknown 4 33%