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.
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.