What is the principle for qBiomarker Somatic Mutation PCR Array data analysis?

The basic principle behind the data analysis is that we compare the Ct value of a mutation assay in a test sample with the Ct value of the same assay in a wildtype sample. When there is a significant difference (a preset value of 4 Cts) between the Ct values, the test sample is concluded to contain the mutation. The Ct values used for comparison can either be raw Ct (in average Ct method) or normalized Ct (in delta delta Ct case). When the Ct difference falls between 3 and 4, we give a borderline mutation call, which means that the mutation may be present at low percentage. When the Ct difference is smaller than 3, we give a negative mutation call (i.e. the mutation percentage is beyond the detection limit of the array). The wildtype sample can be either a genuine wildtype sample that is tested in the same experiment, or it could be a "virtual" wildtype sample that is computed from all test samples. For detailed description of the data analysis principle, refer to (link to white paper).

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