Statistics for Bioinformatics: Methods for Multiple Sequence Alignment

Author:   Julie Thompson (Senior Scientist, French National Center for Scientific Research, France)
Publisher:   ISTE Press Ltd - Elsevier Inc
Edition:   UK ed.
ISBN:  

9781785482168


Pages:   146
Publication Date:   23 November 2016
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Statistics for Bioinformatics: Methods for Multiple Sequence Alignment


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Overview

Statistics for Bioinformatics: Methods for Multiple Sequence Alignment provides an in-depth introduction to the most widely used methods and software in the bioinformatics field. With the ever increasing flood of sequence information from genome sequencing projects, multiple sequence alignment has become one of the cornerstones of bioinformatics. Multiple sequence alignments are crucial for genome annotation, as well as the subsequent structural, functional, and evolutionary studies of genes and gene products. Consequently, there has been renewed interest in the development of novel multiple sequence alignment algorithms and more efficient programs.

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Author:   Julie Thompson (Senior Scientist, French National Center for Scientific Research, France)
Publisher:   ISTE Press Ltd - Elsevier Inc
Imprint:   ISTE Press Ltd - Elsevier Inc
Edition:   UK ed.
Weight:   0.280kg
ISBN:  

9781785482168


ISBN 10:   1785482165
Pages:   146
Publication Date:   23 November 2016
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

PART I: Fundamental concepts 1. Introduction 2. Multiple sequence applications PART II: Traditional multiple sequence alignment methods 3. Heuristic approaches 4. Statistical approaches 5. Objective functions 6. Alignment benchmarks PART III: Large-scale multiple sequence alignment methods 1. Efficient methods for multiple alignment of complete genome sequences 2. Efficient methods for multiple alignment of 1,000’s of sequences 3. HPC implementations 4. Alignment quality analysis

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Author Information

Julie Dawn Thompson is a Senior Scientist at the French National Center for Scientific Research with expertise in theoretical bioinformatics, data mining, knowledge engineering, integrative bioinformatics and genomics, (LBGI) Stochastic Optimization and Nature inspired Computing (SONIC)

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