Jump to content

Analysis of molecular variance

Edit links
From Wikipedia, the free encyclopedia
This is an old revision of this page, as edited by Citation bot (talk | contribs) at 17:19, 24 April 2009 (Citation maintenance. Added: year, month, author, title, volume, issue, pages, issn, pmc, journal, url, format. You can use this bot yourself! Please report any bugs.). The present address (URL) is a permanent link to this revision, which may differ significantly from the current revision.

Analysis of molecular variance (AMOVA), is a statistical model for the molecular variation in a single species, typically biological.[1] The name and model are inspired by ANOVA. The method was developed by Laurent Excoffier, Peter Smouse and Joseph Quattro at Rutgers University in 1992.

Since developing AMOVA, Excoffier has written a program for running such analyses. This program, which runs on Windows is called Arlequin, and is freely available on Excoffier's website. There is also an implementation by Sandrine Pavoine in R language in the ade4 package available on CRAN (Comprehensive R Archive Network).

References

  1. ^ Excoffier, L; Smouse, Pe; Quattro, Jm (1992). "Analysis of molecular variance inferred from metric distances among DNA haplotypes: application to human mitochondrial DNA restriction data" (Free full text). Genetics. 131 (2): 479–91. ISSN 0016-6731. PMC 1205020. PMID 1644282. {{cite journal}}: Unknown parameter |month= ignored (help)CS1 maint: multiple names: authors list (link)




Stub icon

This statistics-related article is a stub. You can help Wikipedia by expanding it.

Retrieved from "https://en.wikipedia.org/w/index.php?title=Analysis_of_molecular_variance&oldid=285888451"