Genome Research · 1997 · 106 citations · 10 references
Life SciencesGeneticsMolecular GeneticsGenomic Data AnalysisGenomicsQuantitative GeneticsHigh-throughput GenotypingMolecular MarkersAutomated BinningAutomated Binning PipelinesAutomatic ClassificationData BinningMicrosatellite AnalysisMicrosatellite Marker Analysis
High-throughput fluorescent genotyping requires a considerable amount of automation for accurate and efficient processing of genetic markers. Automated DNA sequencers and corresponding software products are commercially available that contribute substantially to increased throughput rates for large-scale genotyping projects. However, some conceptually simple tasks still require time-consuming manual intervention that imposes bottlenecks on throughput capacity. One of these tasks is the conversion of imprecise DNA fragment sizes determined by commercial software programs to the underlying discrete alleles that the sizes represent. Here we describe a simple method for assigning allele sizes into their appropriate allele "bins" using least-squares minimization procedures. The method requires no special treatment of family data on plates, internal/external size standards, or electropherogram data manipulation. Tests of the method using the ABI 373A automated DNA sequencer and accompanying Genescan/Genotyper software resulted in accurate automatic classification of all alleles in >80% of 208 markers analyzed, with the remaining 20% being appropriately identified as requiring additional attention to laboratory conditions. Specific characteristics of different markers, including differences in PCR product size and inexact repeat lengths (e.g., 1. 9 bp for a dinucleotide repeat), are accommodated by the method and their properties discussed.
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