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Techniques and protocol discussions on sample preparation, library generation, methods and ideas

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Started by rflrob, 01-10-2019, 01:42 PM
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Started by MGineste, 05-21-2012, 07:10 AM
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Started by Colaptes, 11-21-2018, 04:14 PM
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Started by juelraja, 08-26-2013, 05:12 AM
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Started by paolo.kunder, 12-12-2013, 11:39 PM
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    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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  • SEQadmin2
    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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