Section outline

  • Chip-seq data analysis: from quality check to motif discovery and more - An introduction to the tools and databases of the EPD team

    Lausanne, 4-8 April 2016

    This page is addressed to registered participants. To access course description and application form, please click here.

    For any assistance, please contact

  • Teachers

    GA        Giovanna Ambrosini (EPD/EPFL/SIB)
    PB        Philipp Bucher (EPD/EPFL/SIB)
    RD       René Dreos (EPD/EPFL/SIB
    RG      Romain Groux (EPD/EPFL/SIB)
    SK        Sunil Kumar (EPD/EPFL/SIB)

    List of papers for students

    Doodle to validate your paper's choice

  • Principles of ChIP-seq data analysis explained by a guided tour through the ChIP-seq and SSA server environment (GA)

    Practicals: Start going through the Basic ChIP-Seq and SSA Tutorial posted here.

  • More about DNA motifs and position weight matrices. Introduction to the PWM tools (PB, GA)

    Practicals: Continue with the Basic ChIP-Seq and SSA Tutorial. If time permits, continue with ChIP-Seq Motif Tutorial which will be posted here.

  • ChIP-Seq server – the nitty-gritty details: data representation, file formats, algorithms, parameter fine-tuning, interoperability with other servers (PB, GA)

    Practicals: ChIP-Seq Motif Tutorial part 1 to 4. Finish Basic Tutorial if you have not yet done so.  Both Tutorials are posted here.

  • The Eukaryotic Promoter Database EPD: Design principles, source data, data files, web interfaces and integration with other tools. (RD)

    The practical for this session can be found here

  • Working with public data: Organization and contents of the Mass Genome Annotation (MGA) data repository, introduction to genomic context analysis (RD, PB)

    Practicals: Go through parts 1and 2 of the ChIP-Seq, SSA and PWMTools Advanced tutorial. A  preliminary version of the tutorial can be found here.

    If you plan to work with your own data in the future, you may also do the uploading exercise posted here.

  • Data heterogeneity: Introduction to probabilistic partitioning and applications to ChIP-Seq data analysis data (SK, RG)

    Practical exercises for the session can be found here.

  • Advanced applications: Motif dliscovery with SSA tools, PWM evaluation with ChIP-seq data, using ChIP-seq tools on Amazon cloud (PB, GA, SK)


    • Go through part 5 othe ChIP-Seq Motifs tutoriall posted here.
    • Go through part 3 of the Advanced tutorial posted  here .
  • Selected case studies in epigenomics using NGS-based and how to reproduce the corresponding results from these studies. Practical exercises for this session can be found here. (PB, GA, RD, RG, SK)

  • Paper presentations by course participants.

  • Paper presentations by course participants