An analysis of variance type test for comparing clusters of DNA sequences based on randomization test methodologies

Charles Katholi, Anthony Merriweather and Thomas Unnasch

Journal of Applied Statistics, 1997, vol. 24, issue 4, 371-382

Abstract: A method for comparing groupings of DNA sequences is presented, which utilizes randomization test methods to assign significance levels to a test statistic defined in terms of the Hamming distance between two sequences. The method, which is intuitively motivated by the analysis of variance procedure, partitions the variation caused by differences between clusters from the variation attributable to differences at random base pair locations within clusers. Implementation issues are discussed, and an example of the application of the method is provided.

Date: 1997
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.tandfonline.com/doi/abs/10.1080/02664769723585 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:japsta:v:24:y:1997:i:4:p:371-382

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/CJAS20

DOI: 10.1080/02664769723585

Access Statistics for this article

Journal of Applied Statistics is currently edited by Robert Aykroyd

More articles in Journal of Applied Statistics from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().