DNA sequencing is a very accurate process. Consequently, a
large number of sequencing runs may be needed to discern a statistically
meaningful difference in error rates between two sequencing conditions.
Primary sequence confidence scores such as those provided by the
ATQA system have much greater statistical
power for such experiments. Significant differences in confidence
scores can often be derived in a handful of sequencing experiments.
Confidence scores can be effectively used for a variety of
quality control applications.
- Monitoring the overall quality of the sequences from a gel
so as to discard bad gels.
- Monitoring the quality of sequences derived from particular
devices to identify and correct problems.
- Evaluating the quality of sequences generated under different
conditions in the process of optimizing sequencer performance.
- Evaluating the sequence quality that results from new alternative
sequence chemistry sets.
Daniel H. Wagner Associates has developed protocols and software
tools for using primary sequence confidence scores for quality
control. This work is funded by a Phase II SBIR grant from the
NSF.
