Statistics for Bioinformatics

Methods for Multiple Sequence Alignment
UK ed
ISBN: 978-1-78548-216-8
Verlag: ISTE Press Ltd - Elsevier Inc

Buch, Englisch, 146 Seiten, Format (B × H): 239 mm x 162 mm, Gewicht: 368 g

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.

Zielgruppe

<p>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</p>

Autoren/Hrsg.

Thompson, Julie

Fachgebiete

• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Epidemiologie, Medizinische Statistik
• Naturwissenschaften Biowissenschaften Angewandte Biologie Bioinformatik
• Mathematik | Informatik EDV | Informatik Angewandte Informatik Bioinformatik
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Medizinische Mathematik & Informatik

Inhaltsverzeichnis

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

Über Autor(innen)

Thompson, Julie
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)