Statistics for Bioinformatics: Methods for Multiple Sequence Alignment

by Julie Thompson

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. - Explains the dynamics that animate health systems - Explores tracks to build sustainable and equal architecture of health systems - Examines the advantages and disadvantages of the different approaches to care integration and the management of health information

Product Details

ISBN-13:	9780081019610
Publisher:	ISTE Press - Elsevier
Publication date:	11/24/2016
Sold by:	Barnes & Noble
Format:	eBook
Pages:	146
File size:	6 MB

About the Author

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)

Table of Contents

PART I: Fundamental concepts1. Introduction2. Multiple sequence applications PART II: Traditional multiple sequence alignment methods3. Heuristic approaches4. Statistical approaches5. Objective functions6. Alignment benchmarks PART III: Large-scale multiple sequence alignment methods1. Efficient methods for multiple alignment of complete genome sequences2. Efficient methods for multiple alignment of 1,000's of sequences3. HPC implementations4. Alignment quality analysis

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From the Publisher

This reference reviews the methods for constructing and analyzing multiple sequence alignments—one of the cornerstones of bioinformatics