Modern Computational Approaches in Genomics, Proteomics and Transcriptomics
Xuhua Xia

#Bioinformatics
#Cell
#Genomics
#Proteomics
#Transcriptomics
This second edition integrates the more technical and mathematical aspects of bioinformatics with concrete examples of their application to current research problems in molecular, cellular and evolutionary biology. This broad, unified approach is made possible, in large part, by the very wide scope of Dr. Xia’s own research experience. The integration of genomics, proteomics and transcriptomics into a single volume makes this book required reading for anyone entering the new and emerging fields of Systems Biology and Evolutionary Bioinformatics.
Table of Contents
Chapter 1: String Mathematics, BLAST, and FASTA
Chapter 2: Sequence Alignment
Chapter 3: Position weight matrix and Perceptron
Chapter 4: Gibbs sampler
Chapter 5: Transcriptomics and RNA-Seq Data Analysis
Chapter 6: Self-Organizing Map and Other Clustering Methods in Transcriptomics
Chapter 7: Hidden Markov Models and Protein Secondary Structure Prediction
Chapter 8: Bioinformatics and Translation Initiation
Chapter 9: Bioinformatics and Translation Elongation
Chapter 10: Bioinformatics and Translation Termination in Bacteria
Chapter 11: Genomic Features: Content Sensors, Nucleotide Skew Plot, Strand Asymmetry, and DNA Methylation
Chapter 12: Nucleotide Substitution Models and Evolutionary Distances
Chapter 13: Protein Substitution Model and Evolutionary Distance
Chapter 14: Maximum Parsimony Method in Phylogenetics
Chapter 15: Distance-Based Phylogenetic Methods
Chapter 16: Maximum Likelihood in Molecular Phylogenetics
Chapter 17: Protein lsoelectric Point and Helicobacter pylori
Chapter 18: Bioinformatics and In Silico 2D Gel Electrophoresis
Chapter 19: Fundamentals of Proteomics
About the Author
Xuhua Xia is full professor in bioinformatics and molecular evolution at University of Ottawa where I teach population genetics, molecular evolution and bioinformatics. He serves as associate editor for Molecular Biology and Evolution.









