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Cited by 478

The DOI matches its Crossref record; 136 of the 136 references it cites were found in a registry or an index.

Application of SNPs for population genetics of nonmodel organisms: new opportunities and challenges

HELYAR, S. J., HEMMER‐HANSEN, J., BEKKEVOLD, D., TAYLOR, M. I., OGDEN, R., LIMBORG, M. T., CARIANI, A., MAES, G. E., DIOPERE, E., CARVALHO, G. R., NIELSEN, E. E.·2011·Molecular Ecology Resources

Abstract

Recent improvements in the speed, cost and accuracy of next generation sequencing are revolutionizing the discovery of single nucleotide polymorphisms (SNPs). SNPs are increasingly being used as an addition to the molecular ecology toolkit in nonmodel organisms, but their efficient use remains challenging. Here, we discuss common issues when employing SNP markers, including the high numbers of markers typically employed, the effects of ascertainment bias and the inclusion of nonneutral loci in a marker panel. We provide a critique of considerations specifically associated with the application and population genetic analysis of SNPs in nonmodel taxa, focusing specifically on some of the most commonly applied methods.

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Crossref · 10.1111/j.1755-0998.2010.02943.x

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Metadata

Authors
HELYAR, S. J., HEMMER‐HANSEN, J., BEKKEVOLD, D., TAYLOR, M. I., OGDEN, R., LIMBORG, M. T., CARIANI, A., MAES, G. E., DIOPERE, E., CARVALHO, G. R., & NIELSEN, E. E.
Venue
Molecular Ecology Resources
Publisher
Wiley
Published
2011-01-10
Volume
11
Issue
s1
Pages
123-136
ISSN
  • 1755-098X (ISSN-L)
  • 1755-0998
OpenAlex
W2155309921
Cited by
478
References
136
FWCI
23.75
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Application of SNPs for population genetics of nonmodel organisms: new opportunities and challenges. https://app.cochat.ai/papers/10.1111/j.1755-0998.2010.02943.x
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HELYAR, S. J., HEMMER‐HANSEN, J., BEKKEVOLD, D., TAYLOR, M. I., OGDEN, R., LIMBORG, M. T., CARIANI, A., MAES, G. E., DIOPERE, E., CARVALHO, G. R., & NIELSEN, E. E. (2011). Application of SNPs for population genetics of nonmodel organisms: new opportunities and challenges. Molecular Ecology Resources. https://doi.org/10.1111/j.1755-0998.2010.02943.x

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.