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Processing of samples using the SNiPer algorithm resolves this issue.
One future direction of study may include the comparison of the SNiPer algorithm with the dynamic modeling algorithm currently in use on the 100K and 500K GeneChips.
Importantly, only 2% of the SNPs on chromosome 19 exhibit "NoCall" rates greater than 25% after running the samples through the SNiPer algorithm.
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The SNiPer algorithms now successfully call these poorly performing SNPs, resulting in increased performance of the 10K GeneChip.
Additionally, even though the SNiPer algorithms detailed in this manuscript were designed for use on the 10K GeneChip® it could be applied to the denser genotype platforms from Affymetrix with little modification.
Although we set the parameters to maximize sensitivity, Somatic Sniper's performance still falls behind other algorithms in calling somatic SNVs of low allelic fraction.
We detail the creation of an application, SNiPer, which utilizes two training-based clustering algorithms to increase overall call rates thereby increasing the amount of usable genotype data on each chip.
To remedy this, we created SNiPer, a new application which uses two clustering algorithms to yield increased call rates and equivalent concordance to Affymetrix called genotypes.
"American Sniper"?
'American Sniper'?
Sniper fire.
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