TANDEM: integrating automated allele binning into genetics and genomics workflows

• DOI: 10.1093/bioinformatics/btp303
• Publication Date: 2009-05-07T00:44:24Z
• Authors: Michael Matschiner; Walter Salzburger
• Keywords: User-Computer Interface; 0303 health sciences; 03 medical and health sciences; Databases, Genetic; Computational Biology; Genomics; Alleles; Software

Abstract Summary: Computer programs for the statistical analysis of microsatellite data use allele length variation to infer, e.g. population genetic parameters, detect quantitative trait loci or selective sweeps. However, observed lengths are usually inaccurate and may deviate from expected periodicity repeats. The common practice rounding nearest whole number frequently results in miscalls underestimations allelic richness. Manual sorting into discrete classes, a process called binning, is tedious error-prone. Here, we present new program automated binning overcome these problems facilitate high-throughput binning. Availability: www.evolution.unibas.ch/salzburger/software.htm Contact: [e-mail] Supplementary information: available at Bioinformatics online.