Two hundred nanograms of DNA were processed and hybridized to the Illumina Infinium Human Core Exome BeadChip following manufacturer’s instructions. Illumina GenomeStudio V2011.1 with the Genotyping Module Ver. 1.9.4 was used to normalize data and call genotypes using reference data provided by Illumina. Illumina’s cnv Partition and gada R package were used to automatically detect aberrant copy number region. In addition, the B Allele Frequency (BAF) and Log R Ratio (LRR) distributions were manually checked to determine additional CNVs not detected by the software. Sample identification/relatedness was assessed by comparing called genotypes for each sample. The absolute number of different genotypes was counted and the Euclidean distances were calculated to identify relatedness of the samples.
Genotyping module ver 1
Manufactured by Illumina
The Genotyping Module Ver. 1.9.4 is a laboratory equipment used for the analysis of genetic variations. It is designed to perform high-throughput genotyping of single nucleotide polymorphisms (SNPs) and other genetic markers. The module provides a platform for efficient and accurate data generation, supporting researchers in the field of genetics and genomics.
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Lab products found in correlation
2 protocols using genotyping module ver 1
1
Genome-wide SNP Microarray Analysis
2
Genome-wide SNP Microarray Analysis
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Two hundred nanograms of DNA were processed and hybridized to the Illumina Infinium Human Core Exome BeadChip following manufacturer’s instructions. Illumina GenomeStudio V2011.1 with the Genotyping Module Ver. 1.9.4 was used to normalize data and call genotypes using reference data provided by Illumina. Illumina’s cnv Partition and gada R package were used to automatically detect aberrant copy number region. In addition, the B Allele Frequency (BAF) and Log R Ratio (LRR) distributions were manually checked to determine additional CNVs not detected by the software. Sample identification/relatedness was assessed by comparing called genotypes for each sample. The absolute number of different genotypes was counted and the Euclidean distances were calculated to identify relatedness of the samples.
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