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Is this mostly a theoretical question?
Sometimes we encounter exceptional libraries that will sequences well even with read numbers above spec (rare). In general, over-clustering will lead to drop in Q scores. The drop may be spread across the run or may be more towards the ends of reads (if the run was borderline over-clustered).
Whether Q score trimming can help will depend on the data you have.
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