Bachelor/ Master Thesis Topics

In life sciences, scientists collect increasing amounts of data that must be stored, integrated, processed, and analyzed efficiently to make effective use of them. Thereby, not only the huge volume of available data raises challenges regarding storage space and analysis throughput, but also data quality issues, different data formats, and compliance issues such as data provenance make it hard to handle life science data. To address these challenges, advanced data management techniques are required. Otherwise, the effective use of life science data will be limited. In our research, we want to develop data management techniques for life science data, especially for genome data. Thereby, one question is whether general purpose techniques and methods for data management are enough or whether we have to develop specialized solutions for the life science use case(s).