ARES: software to compare allelic richness between uneven samples

Authors

  • E. E. VAN LOON,

    1. Institute for Biodiversity and Ecosystem Dynamics (IBED), University of Amsterdam, PO Box 94062, 1098 SM Amsterdam, The Netherlands,
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  • D. F. R. CLEARY,

    1. Institute for Biodiversity and Ecosystem Dynamics (IBED), University of Amsterdam, PO Box 94062, 1098 SM Amsterdam, The Netherlands,
    2. National Museum of Natural History, ‘Naturalis’, PO Box 9517, 2300 RA Leiden, The Netherlands
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  • C. FAUVELOT

    1. Institute for Biodiversity and Ecosystem Dynamics (IBED), University of Amsterdam, PO Box 94062, 1098 SM Amsterdam, The Netherlands,
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    • Present address: Environmental Science, University of Bologna at Ravenna, Via S. Alberto 163, I-48100 Ravenna, Italy.


E. E. van Loon, CBPG/IBED, Universiteit van Amsterdam, Nieuwe Achtergracht 166, 1018 WV Amsterdam, the Netherlands. Fax: +31 20 5257431; E-mail: vanloon@uva.nl

Abstract

Allelic richness is one of the most basic measures of genetic diversity. Its calculation is, however, still problematic because estimates depend on sample size. This paper describes an r library that calculates mean allelic richness with confidence bounds for a range of sample sizes. It takes a file in genepop format as input, or alternatively a binary data matrix with columns representing different individuals and rows representing different alleles. The output is tabular as well as graphical. Unlike existing tools, ares does extrapolate beyond the sample size and provides confidence bounds for these predictions.

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