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  • 7th Berlin Summer School in NGS Data Analysis (September 4-8 in Berlin)

    7th Berlin Summer School in NGS Data Analysis

    When? September 4-8, 2023
    Where? Berlin, Germany

    Link? Website

    The purpose of this intense one week summer course is to get a deep understanding in Next-Generation Sequencing (NGS) with a special focus on bioinformatics issues.


    • Learn the essential computing skills for NGS bioinformatics
    • Understand NGS analysis algorithms (e.g. read alignment) and data formats
    • Use bioinformatics tools for handling NGS data
    • Perform first downstream analyses for studying genetic variation
    • Compare different approaches for differential expression analysis
    Apply Now

    Click image for larger version

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

  • #2
    There are already 2/3 of the seats gone. Register today and secure your place!
    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


    • #3
      Would you please how I can register in this program?
      There is no Registration Icon inside the web.
      Regards

      Comment


      • #4
        Thanks for your feedback. Please scroll down to the end of the page! There you will find a button with "Register Now" written on it. Feel free to click on it!
        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


        • #5
          2 participants have cancelled. Take your chance and grab the seats! Apply now: https://www.ecseq.com/summer-school
          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

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