TANDEM: integrating automated allele binning into genetics and genomics workflows
TANDEM: integrating automated allele binning into genetics and genomics workflows
复制标题
DOI：
10.1093/bioinformatics/btp303
复制
发表时间：
2009-08-01
期刊：
影响因子：
5.8
通讯作者：
Salzburger, Walter
中科院分区：
文献类型：
--
作者：
Matschiner, Michael;Salzburger, Walter
微卫星数据统计分析的计算机程序使用等位基因长度变异来推断，G.群体遗传参数，以检测数量性状基因座或选择性扫描。然而，观察到的等位基因长度通常是不准确的，并且可能偏离预期的重复周期。四舍五入到最接近的整数的常见做法经常导致误判和低估等位基因丰富度。人工将等位基因长度分类到离散的类别中，这个过程称为分箱，是繁琐且容易出错的。在这里，我们提出了一个新的程序，用于微卫星等位基因长度的自动分仓，以克服这些问题，并促进高通量等位基因分仓。
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.