Open Research will be upgrading the system on Tuesday, 14 July 2026, from 8:15 to 9:00 AM. We apologise for any inconvenience caused.

Cultural advice

The Australian National University acknowledges, celebrates and pays our respects to the Ngunnawal and Ngambri people of the Canberra region and to all First Nations Australians on whose traditional lands we meet and work, and whose cultures are among the oldest continuing cultures in human history.

Aboriginal and Torres Strait Islander peoples are advised that ANU Library collections may include images, names, voices, and other representations of deceased persons.

Material in the collection may contain terms, language or views that reflect the period in which the item was created and may be considered inappropriate today.

Detecting Genetic Recombination

Date

Authors

Weiller, Georg

Publisher

Humana Press Inc.

Abstract

Recombination is the major motor of evolution. While mutations result in gradual changes, recombination reshuffles entire functional modules and thus progresses evolution in leaps and bounds. We need to identify recombination breakpoints in sequences to understand the evolutionary process, the impact of recombination, and to reconstruct the phylogenetic history of genes and genomes. This chapter provides a step by step guide for detecting recombination even in large and complex sequence alignments.

Keywords

Keywords: Human immunodeficiency virus; Human immunodeficiency virus 1; genetic recombination; genome; methodology; molecular evolution; phylogeny; review; sequence alignment; Evolution, Molecular; Genome; Phylogeny; Recombination, Genetic; Sequence Alignment GAG; HIV-1; Multiple sequence alignment; Phylogenetic correlation; Phylogenetic profile; PhylPro; Recombination

URI

http://hdl.handle.net/1885/60486

Collections

ANU Research Publications

Type

Book Title

Methods in Molecular Biology: Bioinformatics: Data, Sequence Analysis and Evolution

DOI

10.1007/978-1-60327-159-2-22

Restricted until

2037-12-31

Downloads

File

Description

01_Weiller_Detecting_Genetic_2008.pdf (241.83 KB)

02_Weiller_Detecting_Genetic_2008.pdf (1.33 MB)

abcd