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

Kevin S. McKelvey; Michael K. Schwartz

doi:10.1111/j.1471-8286.2005.01038.x

Treesearch

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

Formally Refereed

Authors:

Kevin S. McKelvey, Michael K. Schwartz

Year:

2005

Type:

Scientific Journal

Station:

Rocky Mountain Research Station

DOI:

https://doi.org/10.1111/j.1471-8286.2005.01038.x

Source:

Molecular Ecology Notes. 5: 716-718.

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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.

Keywords

allelic dropout, dropout, genotyping error, mark recapture, molecular tagging, noninvasive

Citation

McKelvey, K. S.; Schwartz, M. K. 2005. DROPOUT: A program to identify problem loci and samples for noninvasive genetic samples in a capture-mark-recapture framework. Molecular Ecology Notes. 5: 716-718.