Statistics for Bioinformatics: Methods for Multiple Sequence Alignment
Autor Julie Thompsonen Limba Engleză Hardback – 22 noi 2016
- 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
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Specificații
ISBN-13: 9781785482168
ISBN-10: 1785482165
Pagini: 146
Dimensiuni: 152 x 229 x 14 mm
Greutate: 0.37 kg
Editura: ELSEVIER SCIENCE
ISBN-10: 1785482165
Pagini: 146
Dimensiuni: 152 x 229 x 14 mm
Greutate: 0.37 kg
Editura: ELSEVIER SCIENCE
Public țintă
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 genomicsCuprins
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
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