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  • ecSeq Bioinformatics
    Senior Member
    • May 2012
    • 492

    NGS Data Analysis Workshop in Munich (29 June - 1 Juli 2016)

    Next-Generation Sequencing Data Analysis: A Practical Introduction
    Quality Control, Read Mapping, Visualization and Differential Expression Analysis



    Link to workshop website

    When?
    29 June - 1 Juli 2016

    Where?
    Munich, Germany

    In a nutshell
    • Learn the essential computing skills for NGS bioinformatics
    • Understand NGS technology, algorithms and data formats
    • Use bioinformatics tools for handling sequencing data
    • Perform first downstream analyses and find differentially expressed genes


    Scope and Topics

    The purpose of this workshop is to get a deeper understanding in Next-Generation Sequencing (NGS) with a special focus on bioinformatics issues. Advantages and disadvantages of current sequencing technologies and their implications on data analysis will be discovered. The participants will be trained on understanding their own NGS data, finding potential problems/errors therein and finally perform their first downstream analysis (differential gene expression). In the course we will use a real-life RNA-seq dataset from the current market leader illumina.

    Key dates

    Opening Date of Registration: 15 January 2016
    Closing Date of Registration: 15 June 2016
    Workshop: 29 June - 1 Juli 2016 (9 am - 5 pm)

    Registration Fee: 898 EUR (excluding VAT)

    Link to workshop website

    ecSeq Bioinformatics is Europe’s leading provider of hands-on bioinformatics workshops and professional data analysis in the field of Next-Generation Sequencing (NGS).
  • ecSeq Bioinformatics
    Senior Member
    • May 2012
    • 492

    #2
    -- last call --
    ecSeq Bioinformatics is Europe’s leading provider of hands-on bioinformatics workshops and professional data analysis in the field of Next-Generation Sequencing (NGS).

    Comment

    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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