Bioinformatics is at the heart of many modern systems biology analyses, and encompasses the application of statistics and computer science to (large-scale) biomolecular datasets. In essence, bioinformatics is about smart ways of extracting knowledge from the enormous amounts of data that can be generated using modern measurement techniques. For instance, it plays an important role in finding the genetic origins of various diseases, such as cancer, diabetes or Alzheimer.
In this course we study some key examples of relevant data-driven bioinformatics methods by reading and discussing a set of selected papers that present interesting DSAIT solutions with significant biological conclusions.