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  • ecSeq Bioinformatics
    Senior Member
    • May 2012
    • 492

    De Novo Transcriptome Analysis - Assembly and Differential Gene Expression



    De Novo Transcriptome Analysis
    Assembly and Differential Gene Expression in Non-Model Organisms

    When? 5 - 7 October 2016

    Where? Leipzig, Germany

    Link? Website

    Advance your research. Understand de novo transcriptome assembly and differential gene expression analysis.

    In a nutshell
    • Learn the essential computing skills for NGS-based assemblies
    • Understand de novo assembly algorithms and NGS data formats
    • Use de novo assembly tools
    • Find differentially expressed transcripts by using the transcriptome assembly


    This workshop focusses on the transcriptome assembly and differential gene expression in non-model organisms. While analyses of model organisms generally rely on a reference genome, studies of non-model organisms usually lack this advantage. Thus, the de novo transcriptome analysis in non-model organisms poses some unique challenges.

    All workshop attendees will be enabled to perform important first tasks in de novo transcriptome assembly using short-read next-generation sequencing data and uncover differentially expressed genes themselves. The course layout has been adapted to the needs of beginners in the field of NGS bioinformatics and allows scientists with no or little background in computer science to get a first hands-on experience in this new and fast evolving research topic.

    Check our new course layout.
    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
    Download Flyer
    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.
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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.

      Here are nine questions we think about, in roughly the order they matter, before...
      06-18-2026, 07:11 AM

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