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  • Rajesh
    Junior Member
    • Jan 2009
    • 5

    Next Generation Sequencing: Data CRAMing, Archiving & Exploring

    We would like to inform you about a course taking place at EMBL-EBI, Cambridge on 2nd of April 2014.

    The title of the not-for-profit course is
    'NGS data CRAMing, Archiving & Exploring'.

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


    During this course you will learn about data standards & Europena Nucleotide Archive (ENA) data model, compression of NGS data
    large-scale data management, Submission tools & API, data retrieval , UDT based uploader tools and more...
    You will be having an opportunity to make suggestions to shape the provision
    of future EBI resources especially for ENA and other related resources.
    Hope you will be able to make some valuable contacts in the NGS community.

    Please pass this invitation on if appropriate.

    To avoid disappointment, please book your place as early as possible
    We train scientists at all levels to get the most out of publicly available biological data.

Latest Articles

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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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