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  • cystron
    Junior Member
    • Jan 2011
    • 7

    Where do NGS projects most often Fail?

    When thinking about a new project, where do you see the most failures?
    1. DNA/RNA extraction
    2. Library Prep
    3. Sequencing Run
    4. Alignment / Assembly
    5. Secondary/Tertiary analysis and BioInformatics

    At what point do you finally feel like a project is "safe"?
  • GenoMax
    Senior Member
    • Feb 2008
    • 7142

    #2
    I am not sure if this question has a generally applicable answer. Projects can fail at any step mentioned in your list. A project can never be "safe" (to borrow your phrase) until the data is analyzed and the paper written :-)

    Comment

    • gringer
      David Eccles (gringer)
      • May 2011
      • 845

      #3
      Experimental design: not choosing appropriate controls, too few biological replicates, or doing sequencing on the wrong cell population (e.g. whole-blood RNASeq for an obesity study).

      Comment

      • Genetic Librarian
        Member
        • May 2017
        • 31

        #4
        Originally posted by gringer View Post
        Experimental design: not choosing appropriate controls, too few biological replicates, or doing sequencing on the wrong cell population (e.g. whole-blood RNASeq for an obesity study).
        This!

        Biggest mistake is too few replicates. Individual samples can drop out for a variety of reasons, so easily your glorious n=3 study has treatments with only 2 replicates in them. And you can not easily repeat the missing samples without having a potential batch effect confounder.

        Also, from my experience as a core lab head, usually it is "**** in, **** out", meaning most library preps / sequencing runs fail because input material was not ideal (but customer wanted to try anyway after being contacted following QC).

        Comment

        • kwaraska
          Senior Member
          • Nov 2008
          • 131

          #5
          To second what another poster said.....there is no safe place until you have your data analyzed but the most common problem is garbage in,garbage out. In the core lab I was in, we had similar issues where a customer would insist we use their sub-optimal ample, and the data would commonly be garbage.

          It is worth checking all samples on a Bioanalyzer or Tape Station type instrument to really look at what you are dealing with. The most common issue would be someone using a nanodrop to get a concentration, but upon TS we would find it was less than 50% of what they reported

          Comment

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