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When preprocessing the preprocessed reads, will the quality deteriorate?

Hi All,

After I use fastp to preprocess the reads, the fastqc report became worse. It seems that the reads have been preprocessed since the fastqc report of the reads I obtained showed adapter content = 0. Is that the case? But why this would happen when doing pre-processing one more time and the quality becomes worse? Should I use the reads after fastp or use the reads before fastp? Any help would be appreciated!

Before fastp: before fastp per base sequence content

before fast sequence length distribution

after fastp: enter image description here enter image description here

And this is the screenshot of fastp report below enter image description here

fastp fastqc

1 answer

the fastqc report became worse

I don't see a lot of difference above. It is not necessary that your data have adapter sequences. It appears to have some adapters. Because you have a set of reads that were trimmed, you now see a tail on the left side of the plot with majority of sequences still being full length i.e. 150 bp (sharp peak). Previously they were all 150 bp so that is why FastQC plotted that weird triangle like thing.

Hi GenoMax,

Thank you for your reply! How about per base sequence content? Is the one after fastp worse than the one before fastp, or it is acceptable? Should I use reads before fastp or after fastp! Thanks!

If you ran fastp properly then it should have done its job well. You could use either set (if you are aligning to a reference). You are only losing 3M reads after fastp.

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