We used the new kit but our bioinformatician has been unsuccessful with the demux using Nugen's protocol. We are trying to figure out the source of the problem.
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Are the indices by chance not properly methylated or do they seem contaminated with unrelated sequences?
Originally posted by nucacidhunter View PostDemultiplexing rate with new kit is low with or without PhiX. Undetermined folder reads have index but it seems to have various sequences. NuGEN should have seen this issue if they sequenced libraries according to their recommendation.
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Sequences of part of NuGEN P5 adapter is not in public domain (they use custom read 1 sequencing primer). I think they ligate partial adapters (methylated) and then add index and restore full adapter sequence after conversion with PCR. Undetermined reads’ index seems to be random indicating either sequencing or synthesis error. Sequencing error and sequencing primer synthesis issues can be excluded because other lanes in flow cell are demultiplexing with higher rate (95-99%). That narrows down the possible cause to adapter or PCR primer synthesis error.
They are not from contamination because reads have very low C and high T content indicating conversion and map to reference.
Edit: Further analysis indicates that they use Y adapters in which P5 sequences are non-methylated, but P7 sequences are.
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We are now thinking that our demultiplexing issue is due to low diversity of the index pool. We had a pool of four libraries with the following indexes: GAGTCA, AGCATG, AAGAGG, and GGAGAA. According to their instructions, it shouldn't have been a problem but apparently, it is.
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I had cluster densities intentially at 700s well below max. My explanation at post #20 seems most probable. They either have a faulty design or oligo synthesis issues. These issues should be resolved before a product launch or kit shipment. Their techsupport has been silent too.Last edited by nucacidhunter; 09-30-2015, 10:52 AM.
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by GATTACATLove 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.
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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...-
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