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  • m_elena_bioinfo
    Member
    • Oct 2009
    • 99

    enrichment efficiency

    Dear,
    I have design two different panels for two different diseases. The dimension of the target regions are the same (about 1.9Mb), in the first I there are 100 genes (only the exons), while in the other one 22 genes (the entire genes, included introns).
    I'm using Sure Select enrichment to sequence the samples. I have noticed that, even If the ratio among total generated reads and mapped reads is the same for the two panels (about 95%), the efficiency of the enrichment is lower in panel with included regions. It means that in this last case, I have many reads off targets.
    Anyone have any idea for the reason? Thanks a lot

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  • GATTACAT
    Reply to Nine Things a Sample Prep Scientist Thinks About Before Sequencing
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    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.
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    Nine Things a Sample Prep Scientist Thinks About Before Sequencing
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    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.

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