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  • jmugford
    replied
    Great - all responses have been helpful. Thanks.

    Leave a comment:


  • Jon_Keats
    replied
    It generally works as but clustering is even more erratic that typical and max densities of 600k are the best you might see. I would worry about such a mixed population and the larger fragments being out competed.

    Leave a comment:


  • HESmith
    replied
    We've sequenced a few libraries w/ 600bp inserts, and all of the metrics (signal intensities, %PF, S/N, Q scores, error rates, etc) were significantly worse than standard 200bp libraries. Also, we clustered at lower densities (~400K) per Illumina's recommendation. We used v3 kits but an earlier version of RTA (whatever was current 6-8 months ago); perhaps the latest update is better suited to larger libraries.

    Leave a comment:


  • pmiguel
    replied
    Our FAS mentioned off-hand that she had made and sequenced 1.5 kb Illumina PE libraries. Anyone else doing that?

    Our first mate end library made for an Illumina sequencer gave much shorter pair distances than expected. 1.4 kb instead of the expect 7 kb. (Needed to do a size selection prior to circularization, I suspect.) Nevertheless adding these reads to normal 400 bp PE reads dramatically improved a de novo fungal genome assembly. If we could get 1.5 kb PE reads -- that would be a game changer for us. I had just assumed it was impossible, though.

    --
    Phillip

    Leave a comment:


  • HESmith
    replied
    Yes, there will be a bias against the larger fragments and a complete absence above a certain size (perhaps 800bp? check with Illumina). Unless the ends of your amplicons need to be matched, you could size-select, shear, and construct libraries from the larger fragments (analogous to sample prep from chromatin IPs).

    Leave a comment:


  • jmugford
    started a topic 150bp-1.3kb insert size PE on HiSeq

    150bp-1.3kb insert size PE on HiSeq

    I have a library that I am running on a HiSeq2000 for PE-100 reads. The fragment sizes range from 150bp to 1.3kb. I can't do much about this range since we are PCR capturing unknown regions using inverse PCR. The majority of the fragments sit in the 500bp range, but will having this wide of a range affect clustering/sequence quality/number of reads? Will there be a bais away from the larger fragments?

    Thanks.

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