GENETIC ERRORS ASSOCIATED WITH POPULATION ESTIMATION USING NON-INVASIVE MOLECULAR TAGGING: PROBLEMS AND NEW SOLUTIONS
By Kevin S. McKelvey, M. D. Schwartz. 2004
194 citations recorded by the source corpus.
Subfields: Genetics, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/32a303401f780a741847bfc28c6047854ba3fcb6
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Genetics
- D. Paetkau
- M. D. Schwartz
- John Boulanger
- Kevin S. McKelvey
- Bruce N. McLellan
- Gordon B. Stenhouse
- M. Proctor
- Clayton D. Apps
In Statistics and Probability
- Gordon B. Stenhouse
- D. Paetkau
- Bruce N. McLellan
- M. Proctor
- John Boulanger
- Clayton D. Apps
- G. Mowat
- M. D. Schwartz
Citations in the corpus
- GENETIC APPROACHES FOR ESTIMATING THE EFFECTIVE SIZE OF POPULATIONS (2005, unknown): “Regardless of the marker used, investigators should take steps to reduce genotyping error; several strategies for reducing genotyping errors have been suggested for microsatellites (Taberlet et al. 1999, Miller and Waits 2003, Mckelvey and Schwartz 2004).”
- Ecological investigations of grizzly bears in Canada using DNA from hair, 1995–2005: a review of methods and progress (2010, methodology): “Inaccurate datasets with erroneous mismatches inflate estimates of abundance by increasing the number of unique genotypes and decreasing the number of recaptures (Mills et al. 2000, McKelvey and Schwartz 2004, Roon et al. 2005, Schwartz et al 2006).”
- An evaluation of field and noninvasive genetic methods for estimating Eurasian otter population size (2009, background): “The quality of data needs to be thoroughly monitored in order to detect and eliminate genotyping errors and, therefore, calculations of error rates and probability of identity values should be meticulously reported in all studies based on NGS (Waits et al. 2001; Bonin et al. 2004; Broquet and Petit ”
- Estimating abundance of mountain lions from unstructured spatial sampling (2012, methodology): “DROPOUT: a program to identify problem loci and samples for noninvasive genetic sampling in a capture-mark-recapture framework.”
- Wolf survival and population trend using non-invasive capture-recapture techniques in the Western Alps (2009, methodology): “Fourthly, we conducted the EB test and the DCH test (McKelvey & Schwartz 2004) using program dropout (McKelvey & Schwartz 2005).”