Data Interpretation and Troubleshooting
Interpretation of genotypes is based on a pattern of peaks or bands, which are visual representations of DNA fragments. Laboratories use data compiled from validation studies to establish procedures for data analysis and interpretation. These validations studies provide data so that the laboratory can establish interpretation guidelines. The following are interpretation parameters that validation studies establish:
- Mixture assessment
Before analyzing and troubleshooting STR data, the analyst must understand the methods and the issues inherent to the analysis process. The ability to differentiate spurious peaks and artifacts from alleles is imperative.
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