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microsatellite analyser (MSA): a platform independent analysis tool for large microsatellite data sets
Abstract
In molecular ecology the analysis of large microsatellite data sets is becoming increasingly popular. Here we introduce a new software tool, which is specifically designed to facilitate the analysis of large microsatellite data sets. All common microsatellite summary statistics and distances can be calculated. Furthermore, the microsatellite analyser (msa) software offers an improved method to deal with inbred samples (such as Drosophila isofemale lines). Executables are available for Windows and Macintosh computers.
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Cited by
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Friedlaender, J. S., Friedlaender, F. R., Reed, F. A., Kidd, K. K., Kidd, J. R., Chambers, G. K., Lea, R. A., Loo, J.-H., Koki, G., Hodgson, J. A., et al. (2008) · PLoS Genetics · doi:10.1371/journal.pgen.0040019 · Cited by 359
Regionally isolated populations of an imperiled Caribbean coral, Acropora palmata
BAUMS, I. B., MILLER, M. W., & HELLBERG, M. E. (2005) · Molecular Ecology · doi:10.1111/j.1365-294x.2005.02489.x · Cited by 305
Life‐history and habitat features influence the within‐river genetic structure of Atlantic salmon
VÄHÄ, J., ERKINARO, J., NIEMELÄ, E., & PRIMMER, C. R. (2007) · Molecular Ecology · doi:10.1111/j.1365-294x.2007.03329.x · Cited by 299
Mateo-Sánchez, M. C., Balkenhol, N., Cushman, S., Pérez, T., Domínguez, A., & Saura, S. (2015) · Landscape Ecology · doi:10.1007/s10980-015-0194-4 · Cited by 189
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Metadata
- Authors
- Dieringer, D., & Schlötterer, C.
- Venue
- Molecular Ecology Notes
- Publisher
- Wiley
- Published
- 2003-01-20
- Volume
- 3
- Issue
- 1
- Pages
- 167-169
- ISSN
- 1471-8278 (ISSN-L)
- 1471-8286
- OpenAlex
- W1956684926
- Cited by
- 1,591
- References
- 0
- FWCI
- 27.29
- Type
- journal article
- Language
- en
- Open access
- closed
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- Dieringer, D., & Schlötterer, C. (2003). microsatellite analyser (MSA): a platform independent analysis tool for large microsatellite data sets. Molecular Ecology Notes. https://doi.org/10.1046/j.1471-8286.2003.00351.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.