seems reasonable! thanks for your help!
I'm trying to QC my illumina miseq paired end reads with sickle pe. but, as visualized in Fastqc per tile sequence quality, it seems that I can not get rid of low quality sequences from special tiles (2118) but somehow it even get worse by increasing quality threshold.
this is the screen-shot from my reads per tile sequence quality after trimming with default quality threshold of sickle pe (q 20):
https://postimg.org/image/s8igtzzc5/
and this is what I get after increasing that to q=30:
https://postimg.org/image/q30kiflbr/
any Idea about what happens around 2118?
1 answer
I suspect it turns red if 100% of the reads are gone from a tile, in which case the calculated average quality would be 0 to avoid a division by zero problem.
For this kind of issue, I suggest using FilterByTile rather than blanket-applying extremely high quality-trimming thresholds like Q30 to your entire dataset, which incurs bias and can greatly damage the utility of the data for many purposes.
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