Computational Analysis of Ultra-High-Throughput (UHT) Sequencing Data
Lausanne, 19-23 January 2009
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 adressed 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 litterature.
The programme will consist of 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. The 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 computational skills in UNIX command line and one scripting language (Perl, Python, Ruby, etc.)