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  • mikhmv
    Registered Vendor
    • Feb 2012
    • 18

    BioDT-Lab. public resource for bioinformaticians

    Sorry for repost. Looks like this announcement well fit to this topic

    BioDatomics has launched its BioDT Labs program, which offers free,
    cloud-based access for qualified bioinformaticians to BioDatomics'
    Hadoop-powered bioanalytics platform. BioDT Labs differs from
    BioDatomics' commercial offering in that Labs is always running the most
    advanced and experimental version of BioDT. In exchange for being
    willing to assess the latest version of the platform, bioinformaticians
    receive unlimited free use of it. The resource may be used to import,
    build or edit workflows using the drag-and-drop interface; run analyses
    using BioDatomics' cloud-based Hadoop infrastructure, which
    significantly accelerates turnaround times; reap insights from results
    presented in both graphic and query-able table formats.

    Participation in the BioDT Labs program is by invitation only. To apply,
    please go to www.biodtlab.com .

    The members for Biodtlab will be selected by applications.

    We are planing to start another installation "Community" where any user will be able to register without limitations. The planning starting date for a "Community server" is in a middle of June.
  • DevThomas
    Banned
    • Jun 2020
    • 1

    #2
    Thanks for your post.

    Comment

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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.

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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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