Originally posted by salamay
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Originally posted by lac302 View PostI've seen the same fluctuation in GC content over the first 20 or so bases on samples run both on the HiSeq and Miseq. I typically have enough coverage to just trim them off even though the Q scores are always above 30.
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I've seen the same fluctuation in GC content over the first 20 or so bases on samples run both on the HiSeq and Miseq. I typically have enough coverage to just trim them off even though the Q scores are always above 30.
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Originally posted by TonyBrooks View PostI'm assuming these were sequenced on a HiSeq? The spike at 4 cycles is most likely a phenomenon known as Bottom Middle Swath (or BMS in Illumispeak). The HiSeq attempts to find focus before scanning at a fixed point near the inlet port. If a bubble is present over at this point, then there is a mis-focus and that particular swatch is scanned out of focus. You should be able to see if you look at the thumbnail images for cycle 4. Basecalling can't be done on these images, so each cluster is given an N at this position.
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Thanks tonybrooks, yes it was on a hiseq. I had not heard about this issue before thanks for bringing it to my attention.
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Originally posted by salamay View PostI have some metagenomic data obtained from whole genome shotgun sequencing using illumina-hiseq. The reads are 100bp paired end and when I examine the reads in fastqc, I see a couple of things. Firstly, the per base sequence content and per base GC content seem to be very skewed at the beginning of the reads (~ bp 1-16), and the per base N content seems to have a spike at bp 4. As well, I have over represented kmers at the beginning of the reads which do not belong to any adapters (as far as I can tell). I know that these trends are sometimes seen in RNA-seq data due to the (not so) random hexamer priming but I am confused as to why I see this in whole genome data. I am also not sure about the N spike at bp 4. I have attached images of what I mentioned and would appreciate any insight.
thanks.
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FASTQC trends
I have some metagenomic data obtained from whole genome shotgun sequencing using illumina-hiseq. The reads are 100bp paired end and when I examine the reads in fastqc, I see a couple of things. Firstly, the per base sequence content and per base GC content seem to be very skewed at the beginning of the reads (~ bp 1-16), and the per base N content seems to have a spike at bp 4. As well, I have over represented kmers at the beginning of the reads which do not belong to any adapters (as far as I can tell). I know that these trends are sometimes seen in RNA-seq data due to the (not so) random hexamer priming but I am confused as to why I see this in whole genome data. I am also not sure about the N spike at bp 4. I have attached images of what I mentioned and would appreciate any insight.
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