Statistics for Bioinformatics - 1st Edition - ISBN: 9781785482168, 9780081019610

Statistics for Bioinformatics

1st Edition

Methods for Multiple Sequence Alignment

Authors: Julie Thompson
eBook ISBN: 9780081019610
Hardcover ISBN: 9781785482168
Imprint: ISTE Press - Elsevier
Published Date: 23rd November 2016
Page Count: 146
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Description

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.

Key Features

  • 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

Readership

Bioinformatics practitioners, Bench biologists with basic bioinformatics experience, those interested in NGS data analysis, Computer scientists interested in bioinformatics and molecular biology, Practitioners, researchers, clinicians interested in genomics

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

Details

No. of pages:
146
Language:
English
Copyright:
© ISTE Press - Elsevier 2017
Published:
Imprint:
ISTE Press - Elsevier
eBook ISBN:
9780081019610
Hardcover ISBN:
9781785482168

About the Author

Julie Thompson

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)

Affiliations and Expertise

Senior Scientist, French National Center for Scientific Research, France