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Allele-Specific PCR in SNP Genotyping
2009The increasing need for large-scale genotyping applications of single nucleotide polymorphisms (SNPs) in model and nonmodel organisms requires the development of low-cost technologies accessible to minimally equipped laboratories. The method presented here allows efficient discrimination of SNPs by allele-specific PCR in a single reaction with standard
Gaudet Muriel +3 more
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A comprehensive evaluation of SNP genotype imputation
Human Genetics, 2008Genome-wide association studies have contributed significantly to the genetic dissection of complex diseases. In order to increase the power of existing marker sets even further, methods have been proposed to predict individual genotypes at un-typed loci from other marker sets by imputation, usually employing HapMap data as a reference.
Michael, Nothnagel +4 more
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DNA banks as a resource for SNP genotyping.
2008This chapter provides a brief overview of the current status of DNA Banks, operations at the Australian Plant DNA Bank (www.dnabank.com.au) and sample handling issues relevant to plant genomics research.
Rice, Nicole F +2 more
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High-Throughput Methods for SNP Genotyping
2009Single nucleotide polymorphisms (SNPs) are ideal markers for identifying genes associated with complex diseases for two main reasons. Firstly, SNPs are densely located on the human genome at about one SNP per approximately 500-1,000 base pairs. Secondly, a large number of commercial platforms are available for semiautomated or fully automated SNP ...
Chunming, Ding, Shengnan, Jin
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[Approaches for SNP genotyping].
Yi chuan = Hereditas, 2009With the completion of the Human Genome Project (HGP), typing single nucleotide polymorphisms (SNP) has become one of the main tasks in the post-genome era. Consequently, a robust, flexible and cost-effective technique for SNP typing is essential to analyze a large number of SNPs.
Wei-Peng, Wang +2 more
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High-Throughput SNP Genotyping
2015The development of next-generation sequencing (NGS) methods has helped the emergence of single nucleotide polymorphism (SNP) as the marker of choice. The SNPs are becoming increasingly popular in view of their abundance, ease in discovery, and the extremely high-throughput SNP genotyping at relatively low cost per data point. High-throughput genotyping
B. D. Singh, A. K. Singh
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Machine Learning-Based Imputation of Missing SNP Genotypes in SNP Genotype Arrays
2013The missing value problem in SNP genotype data sets is introduced along with a short overview of two commonly used imputation algorithms, fastPHASE and KNNimpute, used to resolve the missing value problem for such data sets. A comparison of the two algorithms is provided with additional preliminary biological and mathematical background information for
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