8.5 years ago by
Vancouver, BC
I have been on both sides of this argument. While working at a genomics facility that did sequencing for many Universities, we would get calls everyday from people saying that we messed up their sequencing when it was obvious their samples were not cleaned up properly. I've also had a number of instances where my own samples have been lost, mixed up, or produced really terrible results that were (seemingly) out of my control. The solution is to document everything (spec your DNA/RNA as many ways as possible, check for fragmentation, check for protein contamination, use high quality tissue, etc.) and present a good case to your boss and the sequencing provider.
I am in the middle of solving such a dispute right now with some gene capture data that is not mapping to the genome at all. If you keep good records and are polite, I've found that people will do another sequencing run gratis and fix the issue, though it is inconvenient. Also, I wouldn't spend months trying to figure it out. In some cases, I've found that I have sequence data from another species, but in other cases I was never able to figure out what was going on. Save your time and just do some more sequencing, if that is possible.
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modified 8.5 years ago
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8.5 years ago by
SES ♦ 8.4k
Did you guys do the entire library prep? Or did you guys just give them a RNA extraction sample? If you guys did the entire library prep and they just plated it and stuck it in the machine, chances are you guys screwed up making the library.
Sounds like bad fragmentation, over amplification, or just bad first strand synthesis from RNA.... it can be many many things. Did you guys QC the library?
If they screwed up plating your library, it should be pretty easily detectable. How many monoclonals vs polyclonals? Did a lot of beads break?
Thank you for all answers! I am new compute guy in lab, I will ask labmate for info.
You did not specify a lot of things. Sequencing technology, sample prep and library prep protocol , Organism, read depth, what the duplicated reads are, how you mapped, quality of the reads etc...