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" 'Where is the missing heritability?' is a question asked frequently in genetic research. The difficulty seems to come down to the common disease/common variant hypothesis not holding up." » Read more
WGA Module
The Whole Genome Analysis Module incorporates several technologies and methods designed to overcome the statistical and computational challenges of large-scale whole genome analysis.
Check out our webcasts page for a series of recordings on genome-wide SNP and CNV association studies. Topics range from best practices in study design and quality assurance to analysis and analytic methodologies.
Multi-Processor Support
Certain analyses in genome-wide association studies are computationally intensive and can take many hours or, in some cases, days to run (such as CNAM optimal segmenting). Adding the WGA module enables you to utilize all available processors and cores on your machine, which can significantly speed up supported analyses.
Sparse Data Storage Technology
The WGA Module internally compresses SNP data into proprietary spare storage formats that use a fraction of both system memory and disk space compared to standard genotype file formats. These formats also improve the speed and efficiency of both data import and analysis.
Genome Browser
If a genetic marker map is applied to your spreadsheet, you can view results in chromosome and position order with integrated karyogram view and gene annotation tracks. The genome browser immediately puts your data in genomic context and enables you to link to online databases for further investigation of a region, gene, or marker.
» More about the Genome Browser
Runs of Homozygosity (ROH) Analysis
ROH analysis is a novel analytic method that first identifies patterned clusters of SNPs demonstrating extended homozygosity (runs of homozygosity or "ROHs") and then employs both genome-wide and regionally-specific statistical tests for association to disease. This approach can identify chromosomal segments that may harbor rare, penetrant recessive loci.
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