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Discussion of next-gen sequencing related bioinformatics: resources, algorithms, open source efforts, etc

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Started by laura, 05-09-2011, 04:42 AM
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Started by sci_guy, 01-23-2008, 11:19 PM
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Started by jcthomas, 03-20-2014, 05:39 AM
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Started by Microbiogirl, 03-20-2014, 07:12 PM
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Started by mmmm, 03-20-2014, 08:45 AM
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Started by Nilaksha, 03-21-2014, 01:59 AM
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Started by variadevang, 03-21-2014, 01:31 AM
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Started by vivienne_lovely, 03-18-2014, 10:46 PM
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Started by yiwenhe, 11-07-2013, 08:19 AM
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Started by maria.b, 07-31-2012, 06:08 AM
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Started by id0, 03-18-2014, 12:47 PM
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Started by cdes79, 03-18-2014, 03:28 AM
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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.

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    Data variability is still an issue in sequencing technologies despite the advances in reproducibility and accuracy of these platforms. But the problem does not originate in the sequencing itself, but in the previous steps, before the sample reaches the sequencer.


    The first step is collection, followed by preservation and sample preparation for analysis. Most scientists overlook those steps, but not being careful might just be skewing the experiment’s results.
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