Hello all,
After doing quite a bit of "lurking" with regards to other posts on this topic I have found that although my problem/question is similar to others out there, it is not the same so I have decided to post my own thread.
I have Illumina MiSeq data for a bacterial isolate we know to have high GC content. I analyzed raw data, and trimmed datasets with fastQC. Most areas of the analysis look good with the exception of per base sequence content, sequence duplication levels, and kmer content. Although these areas improved with aggressive trimming, they still do not receive a "pass". I have been doing all of my trimming with Trimmomatic. Aggressive adapter/quality trimming greatly decreases the over represented k-mers, but does not do much to help the per base sequence content. A hard trim of 10bp from the 5' end of the read greatly improves the per base sequence content, but does not do much to improve the overrepresented k-mers.
As I am using this data for a de novo assembly I am really loathe to do a flat 10bp crop because I would like to keep as much data as possible and as many long reads as possible.
I am attaching the reports for the stringent adapter quality trim, and 10bp crop data sets. Any and all input would be appreciated. If you would like to see the raw read assessments as well, let me know and I will provide those.
Thanks,
~Ana
After doing quite a bit of "lurking" with regards to other posts on this topic I have found that although my problem/question is similar to others out there, it is not the same so I have decided to post my own thread.
I have Illumina MiSeq data for a bacterial isolate we know to have high GC content. I analyzed raw data, and trimmed datasets with fastQC. Most areas of the analysis look good with the exception of per base sequence content, sequence duplication levels, and kmer content. Although these areas improved with aggressive trimming, they still do not receive a "pass". I have been doing all of my trimming with Trimmomatic. Aggressive adapter/quality trimming greatly decreases the over represented k-mers, but does not do much to help the per base sequence content. A hard trim of 10bp from the 5' end of the read greatly improves the per base sequence content, but does not do much to improve the overrepresented k-mers.
As I am using this data for a de novo assembly I am really loathe to do a flat 10bp crop because I would like to keep as much data as possible and as many long reads as possible.
I am attaching the reports for the stringent adapter quality trim, and 10bp crop data sets. Any and all input would be appreciated. If you would like to see the raw read assessments as well, let me know and I will provide those.
Thanks,
~Ana
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