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  • jwillis0720
    Junior Member
    • Dec 2012
    • 3

    HiSeq - Any Suggestions?

    Hi,

    I'm sort of new to NGS, particularly HiSeq. Currently at Vanderbilt Medical Center. We get billions of reads back from antibody sequences and was wondering if anyone had any literature or links I could look at for optimizing databases for handling such large amounts of data. I'm finding that mySQL is having a hard time indexing, mongodb is having trouble with strings etc. The sequences are beautiful, the processing is hard.
  • gsgs
    Senior Member
    • Oct 2009
    • 139

    #2
    I'd like to see some sample (partial) sequences and numbers ...
    how do you compress,store them
    (I'm just a programmer and don't know much about hiseq,ngs)

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    • GATTACAT
      Reply to Nine Things a Sample Prep Scientist Thinks About Before Sequencing
      by GATTACAT
      Love this - good data definitely starts from good input, and poor input can only give relatively poor data. I particularly like the mention of Nanodrop/absorbance based methods for quantification. It's such a toss up if you'll get an accurate reading or what amounts to a randomly generated number, and a lot of library/sequencing related issues can be traced back to poor quant.
      07-01-2026, 11:43 AM
    • SEQadmin2
      Nine Things a Sample Prep Scientist Thinks About Before Sequencing
      by SEQadmin2


      I’m not a sequencing expert. I’m a purification scientist who uses NGS to evaluate workflows my group develops. With this perspective, we think about the sample first and the NGS workflow second. The sequencer is an exceptionally honest reporter, but it can only report on what you give it, so whether you get clean, interpretable data from an NGS workflow is largely determined before you begin.

      Here are nine questions we think about, in roughly the order they matter, before...
      06-18-2026, 07:11 AM

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