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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 Bioinformatics and Statistics

Basics in Bioinformatics and Statistics

Chapter:
(p.33) 2 Basics in Bioinformatics and Statistics
Source:
Statistical Theory and Methods for Evolutionary Genomics
Author(s):

Xun Gu

Publisher:
Oxford University Press
DOI:10.1093/acprof:oso/9780199213269.003.0002

The available web-based genome resources provide great opportunities for biomedical scientists to identify functional elements in a particular genome region or explore the evolutionary pattern of genome dynamics. This chapter gives a brief review of the availability of web-based databases and software for selected important topics. Topics covered include bioinformatic resources for evolutionary genomics, basic statistics for homologous search, sequence alignment, microarrays and statistics, and Markov chain Monte Carlo algorithms.

Keywords:   web-based resources, biomedical research, genome dynamics, evolutionary genomics, microarrays, homologous search

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