Sequence Analysis and Parallel Computing

1. Auflage 2019
ISBN: 978-3-11-046208-1
Verlag: De Gruyter

Buch, Englisch, 330 Seiten, Format (B × H): 170 mm x 240 mm

This book presents algorithms in proteomics and biological networks and explains biological background and mathematical theories behind them. Focussing on the realization of algorithms in scientific computing the book enables an easy entry to bioinformatics for researchers with computer science background.

Autoren/Hrsg.

Wang, Yongxian

Wang, Zhenghua

Fachgebiete

• Naturwissenschaften Biowissenschaften Angewandte Biologie Bioinformatik
• Mathematik | Informatik EDV | Informatik Angewandte Informatik Bioinformatik

Inhaltsverzeichnis

Table of Content: Part 1: Proteomics analysis
Chapter 1 Predict protein structure
1.1 Protein structure layers
1.2 Secondary structures
1.3 Secondary structure testing
1.4 Algorithms for predicting protein structure
1.5 Evaluation of prediction algorithms
1.6 Protein comparison
Chapter 2 Mass spectrometry (MS) analysis for protein sequences
2.1 MS
2.2 MS data analysis
2.3 Pre-treatment for MS data
2.4 Scoring methods
2.5 de novo sequencing
Part 2 Biological network analysis
Chapter 3 Protein-Protein interaction prediction
3.1 Protein-Protein interaction
3.2 Experimental methods for Protein-Protein interaction detection
3.3 Bioinformatics application in Protein-Protein interaction analysis
3.4 Domain interaction prediction
3.5 Summary
Chapter 4 Functional modules in biological networks
4.1 Introduction
4.2 Structure characteristics for complex networks
4.3 Network parameters and calculation
4.4 Parallel analysis for biological networks
4.5 Module partition
4.6 Clustering
4.7 Spectral analysis
4.8 Evaluation for module partition
Chapter 5 Data mining for large-scale network
5.1 Clustering analysis
5.2 Linkage clustering – single, complete, average
5.3 Kernel function
5.4 Spectral clustering

Über Autor(innen)

Xianyong Wang, Zhenghua Wang, National University of Defense Technology, Changsha, China