Results 311 to 320 of about 215,087 (323)

High-Throughput SNP Genotyping

2015
The 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
A. K. Singh, B. D. Singh
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High-Throughput Methods for SNP Genotyping

2009
Single 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 ...
Shengnan Jin, Chunming Ding
openaire   +3 more sources

The MassARRAY® System for Targeted SNP Genotyping

2016
Research to understand the genetic basis of disease, particularly complex disease, regularly involves single nucleotide polymorphism (SNP) genotyping. The use of genome-wide SNP genotyping arrays has become increasingly more commonplace for gene discovery. However, smaller-scale genotyping platforms capable of efficiently genotyping tens to hundreds of
Justine A. Ellis, Benjamin Ong
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Missing SNP Genotype Imputation

2011
High-throughput single nucleotide polymorphism (SNP) genotyping technologies conveniently produce large SNP genotype datasets for genome-wide linkage and association studies. Various factors, from array design and hybridization, can give rise to a certain percentage of missing calls, and the problem becomes severe when the target organisms such as ...
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DNA banks as a resource for SNP genotyping.

2008
This 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, Kasem, Shabana, Henry, Robert J   +2 more
openaire   +3 more sources

Machine Learning-Based Imputation of Missing SNP Genotypes in SNP Genotype Arrays

2013
The 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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Genotyping SNPs With Molecular Beacons [PDF]

, 2003
Fred Russell Kramer, Salvatore A. E. Marras, Sanjay Tyagi   +2 more
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Pyrosequencing for SNP Genotyping

2003
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Invader Assay for SNP Genotyping

2003
Bruce Neri, Victor I. Lyamichev
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SNP Genotyping by Using Photochemical Ligation

Angewandte Chemie International Edition, 2006
Kenzo Fujimoto, Kenzo Fujimoto, Shinzi Ogasawara   +2 more
openaire   +3 more sources