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dropout: a program to identify problem loci and samples for noninvasive genetic samples in a capture-mark-recapture framework

Authors

  • K. S. McKELVEY,

    Corresponding author
    1. USDA Forest Service, Rocky Mountain Research Station, 800 E. Beckwith, Missoula, MT 59801, USA
      K. S. McKelvey, USFS RMRS, PO Box 8089, Missoula, MT 59807. Fax: (406) 543-2663; E-mail: kmckelvey@fs.fed.us
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  • M. K. SCHWARTZ

    1. USDA Forest Service, Rocky Mountain Research Station, 800 E. Beckwith, Missoula, MT 59801, USA
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K. S. McKelvey, USFS RMRS, PO Box 8089, Missoula, MT 59807. Fax: (406) 543-2663; E-mail: kmckelvey@fs.fed.us

Abstract

Abstract Genotyping error, often associated with low-quantity/quality DNA samples, is an important issue when using genetic tags to estimate abundance using capture-mark-recapture (CMR). dropout, an MS-Windows program, identifies both loci and samples that likely contain errors affecting CMR estimates. dropout uses a ‘bimodal test’, that enumerates the number of loci different between each pair of samples, and a ‘difference in capture history test’ (DCH) to determine those loci producing the most errors. Importantly, the DCH test allows one to determine that a data set is error-free. dropout has been evaluated in McKelvey & Schwartz (2004) and is now available online.

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