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  • HeidiLee
    Member
    • Jul 2011
    • 20

    Normalization with champ.norm in ChAMP Pakcage

    I am trying to use champ.norm function in the Bioconductor package ChAMP for our DNA methylation data for 389 samples.
    When I run champ.norm function I found a problem. At the first time it stopped at the 172th sample, at the second time it stopped at the 53rd sample, at the third time, and the fourth time, and so on, it just stopped at some samples.
    Could any one please tell me what is happening here, and what could be a good solution for this?

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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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