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  • Rajesh
    Junior Member
    • Jan 2009
    • 5

    NGS Data CRAMing, Archiving & Exploring

    We are conducting a course titled 'Next Generation Sequencing data CRAMing, Archiving & Exploring' at EMBL-EBI, Hinxton, Cambridge on 2nd of April 2014.

    Registration is free.

    We train scientists at all levels to get the most out of publicly available biological data.


    This course provides an overview about the Next Generation Sequencing
    (NGS) data standards, data compression,European Nucleotide Archive(ENA) data model, large-scale data management, Submission tools, its API, data retrieval and more...

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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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