Abstract: Aspects of the present invention describe an apparatus and method for generating genotype calls for a sample. The genotyping initially models allelic signal response into an allelic model having one or more model parameters for an identified one or more sources of systematic variation. The model and parameters are then used to transform the allelic signals to a normalized normalized allelic space that serves to compensate for the one or more sources of systematic variation. By compensating for the systematic variation in this manner, the genotype for the sample is readily determined based upon its relationship to the representation of the allelic signals in normalized allelic space and in accordance with the allelic model.

Abstract: A system and methods for evaluating genetic information and biological data applying a clustering approach which may be used for allele calling and genotyping. Statistical analysis of sample data is performed at various levels to develop a model which associates individual data points with selected genotyping clusters and provides a relative indication of the call confidence. The methods provide a unified framework for allele-calling in many different contexts and may be applied to the data acquired from various identification methodologies.

Abstract: Methods, systems, and articles of manufacture consistent with the present invention are provided for making allele calls. In certain embodiments, allele calling is accomplished by providing a committee machine that receives calls from several allele calling algorithms. By receiving calls from multiple allele calling algorithms, the committee machine makes calls containing a high level of confidence over a variety of conditions. Certain embodiments provide methods employing at least two algorithms and at least two quality values for allele calling. Unique individual algorithms for allele calling are also provided.

Abstract: A system and method for identifying lanes in images generated from DNA sequencing and fragment analysis is described. One example method includes a computer implemented method of determining the locations of lanes of separated samples. Each lane corresponds to a sample being separated by flowing the sample through a media. The method includes the following elements. Place some samples on the media. Cause the samples to separate into the lanes. Create a digital image of the lanes. Fit some curves to the lane images. Each curve corresponds to a lane formed from a separated sample.