Statistics for Bioinformatics: Methods for Multiple Sequence Alignment

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 systemsExplores tracks to build sustainable and equal architecture of health systemsExamines the advantages and disadvantages of the different approaches to care integration and the management of health information INDICE: 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

• ISBN: 978-1-78548-216-8
• Editorial: ISTE Press - Elsevier
• Encuadernacion: Cartoné
• Páginas: 146
• Fecha Publicación: 23/11/2016
• Nº Volúmenes: 1
• Idioma: Inglés