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In addition, by introducing multiple sample classification, the genotyping estimation takes advantage of several SNPs other than the current one to be more robust.
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A novel method for genotyping error estimation is implemented using linkage disequilibrium information from the HapMap project.
The program incorporates estimated inbreeding coefficients for each sample to improve accuracy of genotype estimation.
Thus, we did not have to rely on imputed genotypes; estimation of haplotypes is simplified and transmission patterns can be explored.
The average positive predictive value of our CNV validation results was 0.973, indicating that the CNV genotype estimation was highly reliable.
A total of 405 progeny collected from the eight small disjunct populations were genotyped for estimation of pollen immigration via direct paternity analysis (Table 1).
High-throughput SNP genotyping and estimation of recombination points based on resequencing of recombinant inbred lines were recently utilized, even though the sequencing coverage was insufficient (Huang et al. 2009; Xie et al. 2010).
As quantities of DNA remaining from the initial STR analysis were very limited, an important pre-amble to the extended genotyping was estimation of likely success in assigning ancestry, i.e. choosing the approach that gave the minimum misclassification error from amongst the different ancestry marker sets available.
Huang et al. [ 33] proposed a new method of high-throughput genotyping and estimation of recombination points based on whole-genome resequencing of recombinant inbred lines.
Single nucleotide polymorphism (SNP) arrays are important tools widely used for genotyping and copy number estimation.
This data set was specially designed for the development and evaluation of low-level analysis methods for genotyping and copy number estimation from probe intensity data (see, e.g., [22]).
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