Description
Statistical Analysis of Molecular and Genomic Evolution is a definitive resource for researchers and students studying evolutionary biology at the molecular scale. Written by renowned expert Xun Gu, this Oxford University Press publication covers the fundamental statistical frameworks and computational methods necessary for analyzing DNA sequences, protein structures, and genomic data.
The book addresses key topics including sequence alignment, phylogenetic reconstruction, molecular clock analysis, and detection of natural selection. It bridges theory and practice, offering both mathematical foundations and practical applications for modern genomic research. Whether you’re investigating species relationships, tracing evolutionary history, or identifying adaptive changes in genes, this text provides the statistical tools and conceptual understanding needed to draw meaningful conclusions from complex molecular datasets.
Ideal for graduate students, postdoctoral researchers, and established scientists, this comprehensive guide remains an essential reference in computational biology and evolutionary genetics.
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