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Statistical Theory and Methods for Evolutionary Genomics$
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Xun Gu

Print publication date: 2010

Print ISBN-13: 9780199213269

Published to Oxford Scholarship Online: January 2011

DOI: 10.1093/acprof:oso/9780199213269.001.0001

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Basics in Molecular Evolution

Basics in Molecular Evolution

Chapter:
(p.1) 1 Basics in Molecular Evolution
Source:
Statistical Theory and Methods for Evolutionary Genomics
Author(s):

Xun Gu

Publisher:
Oxford University Press
DOI:10.1093/acprof:oso/9780199213269.003.0001

Molecular evolution is the study of the process of evolution at the level of DNA, RNA, and proteins, in which the neutral or nearly neutral evolution model has provided the theoretical basis. Yet, the role of positive selection at the molecular level remains a controversial issue. Recent advances in genomics, including whole-genome sequencing, high-throughput protein characterization, and bioinformatics have led to a dramatic increase in studies in comparative and evolutionary genomics. This chapter introduces some widely-used methods in genomic analysis. These include distance method, parsimony methods, maximum-likelihood methods, Bayesian methods, and ancestral sequence inference.

Keywords:   molecular evolution, DNA sequences, genomic analysis, evolutionary genomics, phylogenetic trees, phylogenetic inference

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