TANDEM: integrating automated allele binning into genetics and genomics workflows

Matschiner, Michael and Salzburger, Walter. (2009) TANDEM: integrating automated allele binning into genetics and genomics workflows. Bioinformatics, Vol. 25, H. 15. pp. 1982-1983.

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Official URL: http://edoc.unibas.ch/dok/A5252022

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SUMMARY: Computer programs for the statistical analysis of microsatellite data use allele length variation to infer, e.g. population genetic parameters, to detect quantitative trait loci or selective sweeps. However, observed allele lengths are usually inaccurate and may deviate from the expected periodicity of repeats. The common practice of rounding to the nearest whole number frequently results in miscalls and underestimations of allelic richness. Manual sorting of allele lengths into discrete classes, a process called binning, is tedious and error-prone. Here, we present a new program for the automated binning of microsatellite allele lengths to overcome these problems and to facilitate high-throughput allele binning. AVAILABILITY: www.evolution.unibas.ch/salzburger/software.htm. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Faculties and Departments:05 Faculty of Science > Departement Umweltwissenschaften > Integrative Biologie > Evolutionary Biology (Salzburger)
UniBasel Contributors:Salzburger, Walter and Matschiner, Michael
Item Type:Article, refereed
Article Subtype:Research Article
Publisher:Oxford University Press
Note:Publication type according to Uni Basel Research Database: Journal article
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Last Modified:22 Mar 2012 14:30
Deposited On:22 Mar 2012 14:13

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