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DNA Analysis Arrays
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What does the quality score stand for?
The quality score is based on a best-fit model approach. The algorithm considers the 10 possible models (4 possible homozygotes and 6 possible heterozygotes) in determining an individual base call. The QS reported for each base is the difference between the log10 likelihood of the best fitting model and the second best fitting model. The difference between a QS of 20 and QS of 30 represents 100 X more confidence in the call. The default threshold for the quality score is 30 but can be adjusted by the user.