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  • mitcherr
    Junior Member
    • Feb 2013
    • 4

    Optimal Setup for MethylMiner-seq (ChIP-seq)

    I apologize as I was unable to find the exact answer to my question browsing through earlier threads (thought it is probably out there). Please feel free to link me if you can.

    I am looking to analyze 25 samples using methylminer and subsequent seq analyses. I have been quoted for single end and paired end , 100bp reads, and suggested to go between 20-50 million reads per sample. (obviously a wide scope quote!)

    Would it be more effective to perform single end reads with more reads per sample if I am concerned about rare DMR between samples? Or should I do less reads and stick with paired end reads to be more confident in my mapping. I'm bran new to this tech, so from what I have read this is what I am understanding to be the tradeoff between physically more reads vs pairing when thinking on a budget (obviously more reads and paired end would be the ultimate right?)

    Thanks for any comments (and please if you have time ask me to clear up my question if it doesn't make sense in its current form)

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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.
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  • 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...
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