General

Authors

Search


Committee login



 
 

 


 

 

Forthcoming

Small thumbnail

Reliability Investigation of LED Devices for Public Light Applications

Durability, Robustness and Reliability of Photonic Devices Set

Small thumbnail

Aerospace Actuators 2

Signal-by-Wire and Power-by-Wire

Small thumbnail

Flash Memory Integration

Performance and Energy Considerations

Small thumbnail

Mechanics of Aeronautical Solids, Materials and Structures

Small thumbnail

Engineering Investment Process

Making Value Creation Repeatable

Small thumbnail

Space Strategy

Small thumbnail

Distributed Systems

Concurrency and Consistency

Small thumbnail

Fatigue of Textile and Short Fiber Reinforced Composites

Durability and Ageing of Organic Composite Materials Set Volume 1

Small thumbnail

Management of the Effects of Coastal Storms

Policy, Scientific and Historical Perspectives

Small thumbnail

Computational Color Science

Variational Retinex-like Methods

Small thumbnail

Statistics for Bioinformatics

Statistics for Bioinformatics Set

Julie Dawn Thompson, University of Strasbourg, France

ISBN: 9781785482168

Publication Date: December 2016   Hardback   146 pp.

80.00 USD


Add to cart

eBooks


Ebook

Description

Next Generation Sequencing (NGS) has transformed the field of Biology. In the last ten years, the development of new genome sequencing technologies has made DNA sequencing, RNA-seq and high-throughput screening crucial research tools in areas like agriculture, medicine and the food industry.
The greatest challenge now lies in finding efficient and effective ways to manage the large-scale data being produced, to analyze the genome sequences and extract relevant and useful information.
In this book, the author introduces the fundamental concepts and traditional methods for comparative sequence analysis, as well as the most up-to-date multiple sequence alignment approaches currently being developed to cope with the volume and complexity of high-throughput genome sequencing data.

Contents

Part 1. Fundamental Concepts
1. Introduction.
Part 2. Traditional Multiple Sequence Alignment Methods
2. Heuristic Sequence Alignment Methods.
3. Statistical Alignment Approaches.
4. Multiple Alignment Quality Control.
5. Benchmarking.
Part 3. Large-scale Multiple Sequence Alignment Methods
6. Whole Genome Alignment.
7. Multiple Alignment of Thousands of Sequences.
8. Future Perspectives: High-Performance Computing.

About the Authors

Julie Dawn Thompson is a CNRS Research Director at the ICube Institute at the University of Strasbourg, France.

Downloads

DownloadTable of Content - PDF File - 174 Kb

































0.01610 s.