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Bioinformatics

Overview of attention for book
Cover of 'Bioinformatics'

Table of Contents

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    Book Overview
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    Chapter 1 Genome Sequencing.
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    Chapter 2 Sequence Assembly.
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    Chapter 3 A Practical Approach to Protein Crystallography.
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    Chapter 4 Managing Sequence Data.
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    Chapter 5 Genome Annotation.
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    Chapter 6 Working with Ontologies.
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    Chapter 7 The Classification of Protein Domains.
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    Chapter 8 Multiple Sequence Alignment.
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    Chapter 9 Large-Scale Sequence Comparison.
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    Chapter 10 Genomic Database Searching.
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    Chapter 11 Finding Genes in Genome Sequence.
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    Chapter 12 Sequence Segmentation with changeptGUI.
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    Chapter 13 Measuring Natural Selection.
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    Chapter 14 Inferring Trees.
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    Chapter 15 Identifying Optimal Models of Evolution.
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    Chapter 16 Scaling Up the Phylogenetic Detection of Lateral Gene Transfer Events.
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    Chapter 17 Detecting and Analyzing Genetic Recombination Using RDP4.
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    Chapter 18 Species Tree Estimation from Genome-Wide Data with guenomu.
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    Chapter 19 Erratum to: Sequence Segmentation with changeptGUI
Attention for Chapter 7: The Classification of Protein Domains.
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Chapter title
The Classification of Protein Domains.
Chapter number 7
Book title
Bioinformatics
Published in
Methods in molecular biology, January 2017
DOI 10.1007/978-1-4939-6622-6_7
Pubmed ID
27896721
Book ISBNs
978-1-4939-6620-2, 978-1-4939-6622-6
Authors

Natalie Dawson, Ian Sillitoe, Russell L. Marsden, Christine A. Orengo

Editors

Jonathan M. Keith

Abstract

The significant expansion in protein sequence and structure data that we are now witnessing brings with it a pressing need to bring order to the protein world. Such order enables us to gain insights into the evolution of proteins, their function and the extent to which the functional repertoire can vary across the three kingdoms of life. This has lead to the creation of a wide range of protein family classifications that aim to group proteins based upon their evolutionary relationships.In this chapter we discuss the approaches and methods that are frequently used in the classification of proteins, with a specific emphasis on the classification of protein domains. The construction of both domain sequence and domain structure databases is considered and we show how the use of domain family annotations to assign structural and functional information is enhancing our understanding of genomes.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 43 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 26%
Student > Master 8 19%
Student > Bachelor 7 16%
Student > Doctoral Student 4 9%
Researcher 3 7%
Other 6 14%
Unknown 4 9%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 16 37%
Agricultural and Biological Sciences 10 23%
Computer Science 7 16%
Unspecified 2 5%
Veterinary Science and Veterinary Medicine 1 2%
Other 3 7%
Unknown 4 9%

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