burial (version 1.0): a method for testing genetic similarity within small groups of individuals using fragmentary data sets

Biologists are frequently facing the problem of dealing with data sets with a small amount of data and a high proportion of missing information. We were particularly interested in analysing fragmentary data sets generated by the application of molecular methods in palaeoanthropology in order to dete...

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Bibliographic Details
Published in:Molecular ecology notes Vol. 1; no. 3; pp. 213 - 214
Main Authors: Schönfisch, Birgitt, Tomiuk, Jürgen, Bachmann, Lutz, Pusch, Carsten M.
Format: Journal Article
Language:English
Published: Oxford, UK Blackwell Science, Ltd 01-09-2001
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Summary:Biologists are frequently facing the problem of dealing with data sets with a small amount of data and a high proportion of missing information. We were particularly interested in analysing fragmentary data sets generated by the application of molecular methods in palaeoanthropology in order to determine whether individuals are genetically related. In this note, we announce the release of the software burial (version 1.0) to test the null hypothesis that the observed grouping of individuals at a particular burial site reflects random placement of genotypes. The proposed test, however, can also be applied to data sets whose objects can be grouped according to nongenetic criteria such as the style of clothing, the kind of burial gifts or cultural artefacts. The C + + source code and binary executables for Windows and Linux are available for download at: http://www.uni‐tuebingen.de/uni/bcm/BURIAL/index.html.
Bibliography:ark:/67375/WNG-NMV8JPSC-6
istex:AEFC3F26819A32D1017FFD655DB0E3A94AC92F94
ArticleID:MEN039
bachmann@ulrik.uio.no
Present address: University of Oslo, Zoological Museum, Sars Gate 1, N‐0562 Oslo, Norway. E‐mail
ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
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ISSN:1471-8278
1471-8286
DOI:10.1046/j.1471-8278.2001.00039.x