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Analyzing Cancer Samples with SNP Arrays
2011Single nucleotide polymorphism (SNP) arrays are powerful tools to delineate genomic aberrations in cancer genomes. However, the analysis of these SNP array data of cancer samples is complicated by three phenomena: (a) aneuploidy: due to massive aberrations, the total DNA content of a cancer cell can differ significantly from its normal two copies; (b ...
Peter, Van Loo +6 more
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Copy Number and SNP Arrays in Clinical Diagnostics
Annual Review of Genomics and Human Genetics, 2011The ability of chromosome microarray analysis (CMA) to detect submicroscopic genetic abnormalities has revolutionized the clinical diagnostic approach to individuals with intellectual disability, neurobehavioral phenotypes, and congenital malformations.
Christian P, Schaaf +2 more
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SNP Arrays for Species Identification in Salmonids
2016The use of SNP genotyping microarrays, developed in one species to analyze a closely related species for which genomic sequence information is scarce, enables the rapid development of a genomic resource (SNP information) without the need to develop new species-specific markers.
Roman, Wenne +4 more
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Universal Tag Arrays in Forensic SNP Analysis
2004Microarray-based single nucleotide polymorphism (SNP) genotyping enables simultaneous and rapid detection of a large number of markers and is thus an attractive method for forensic individual acid identification. This assay relies on a one-color detection system and minisequencing in solution before hybridization to universal tag arrays.
Marie, Allen, Anna-Maria, Divne
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A NEW GENOTYPE CALLING METHOD FOR AFFYMETRIX SNP ARRAYS
Journal of Bioinformatics and Computational Biology, 2011Current genotype-calling methods such as Robust Linear Model with Mahalanobis Distance Classifier (RLMM) and Corrected Robust Linear Model with Maximum Likelihood Classification (CRLMM) provide accurate calling results for Affymetrix Single Nucleotide Polymorphisms (SNP) chips.
Bilin Fu, Jin Xu
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Estimation of Missing Values in SNP Array
2014DNA microarray usage in genetics is rapidly proliferating, generating huge amount of data. It is estimated that around 5-20% of measurements do not succeed, leading to missing values in the data destined for further analysis. Missing values in further microarray analysis lead to low reliability, therefore there is a need for effective and efficient ...
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Contribution of SNP arrays in diagnosis of deletion 2p11.2–p12
Gene, 2012Deletions of the short arm of chromosome 2 are exceedingly rare, having been reported in few patients. Furthermore most cases with deletion in 2p11.2-p12 have been studied using standard karyotype and so it is not possible to delineate the precise size of deletions.
Rocca, Maria Santa +6 more
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REFET replication for ISFET-based SNP detection arrays
2013 IEEE International Symposium on Circuits and Systems (ISCAS2013), 2013In-pixel differential measurement with calibration for chemical reaction occurrence detection, particularly for pH-based Single Nucleotide Polymorphism (SNP) detection and genotyping arrays is presented. The proposed work adjusts the offset of upto 130mV between the ISFETs and the REFET in a calibration step and cancels out common mode noise by ...
Mohammadreza Sohbati +2 more
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Array-CGH and SNP-Arrays, the New Karyotype
2012Array-comparative genomic hybridisation (array-CGH) and single nucleotide polymorphism array hybridisation (SNP-array) enable genome-wide detection of copy number alterations (CNA). These techniques outperform conventional chromosomal karyotyping in relation to detection of CNAs.
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SNPs on Chips: The Hidden Genetic Code in Expression Arrays
Biological Psychiatry, 2007Gene expression microarray analysis in postmortem brains is one of the fastest growing fields of psychiatric research. Here we show that common polymorphisms (SNPs) present on probe sets can masquerade as significant "gene expression" differences. After first observing this artifact in the Catechol-O-methyl transferase (COMT) gene, we replicate the ...
Elzbieta, Sliwerska +7 more
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