Topic outline

  • General

    Computational Analysis of Ultra-High-Throughput (UHT) Sequencing Data

    Lausanne, 13-17 September 2010

    Important the course will take place in EPFL-Lausanne and not in Geneva as initially announced.

    Course description:
    Research based on ultra-high-throughput (UHT) sequencing technologies is to a large extent bioinformatics;
    The aims of the course are:

    • UNDERSTANDING the biological questions addressed with these technologies, the nature of the data (Including noise and artifacts), the current state-of-the-art algorithms to interpret the data, and the computational challenges in the near future.
    • KNOWING the major application areas of UHT sequencing
    • BEING ABLE to learn more from the corresponding scientific literature.

    UHT sequencing technologies, raw data management, base-calling, de novo and homology-driven assembly of genomes, large-scale genotyping (SNP, CNV), ChiP-seq, transcription start site mapping, gene expression profiling: these topics will be covered by introductory lectures, hands-on practicals, and research seminars by users of UHT sequencing technologies.

    • Ph.D. students and postdoctoral fellows with Masters level knowledge in bioinformatics and genomics or equivalent.
    • Computational skills: UNIX command line, one scripting language (Perl, Python, Ruby, etc.)

    ECTS accreditation: 2 credits
    Important: successful participating graduate students will have to inquire if these credits are accepted by their respective graduate schools.