This module links data science
with genome research. The human genome is a particularly interesting piece of data.
It holds more than three billion letters A, C, G or T. At first glance, the
code is completely incomprehensible. Nevertheless, its analysis is changing
medicine entirely. How can you distil information from such data? How does the
analysis of genomes help to understand evolution, molecular biology, diversity,
and medicine? What role does this data play in the development of new drugs?
This module is an introduction to
genomic data analysis. Data analysis aspects of gene regulation, molecular
signaling pathways, genome evolution and the structure of proteins are
introduced. Digital methods such as sequence alignment, sequence motifs and the
molecular search engine BLAST are discussed. In addition to the algorithmic and
statistical principles of the methods, we discuss their potential for decoding
the human genome.