gProfiler (https://biit.cs.ut.ee/gprofiler) is a toolset for functional enrichment analysis and conversions of gene lists that is now available also at Galaxy platform (https://usegalaxy.eu and https://galaxy.hpc.ut.ee/). Galaxy is meant for supporting data intensive research in a convenient manner through building and using custom workflows. Biological data analysis often deals with lists of genes arising from various […]

This October the University of Tartu Institute of Computer Science, Garage48 and Startup Estonia organized a Cyber Security hackathon, which was attended by almost 100 developers, designers, experts, entrepreneurs and enthusiasts in order to create new cyber security solutions, for the benefit of humanity. Out of 17 pitched ideas 10 teams were formed. The winner […]

On the 29th of August, Sulev Reisberg defended his PhD on “Developing computational solutions for personalized medicine” which is an important step towards clinical application of this new era of medicine. Each of us has a unique 3-billion-elements-long genetic code called DNA. It defines, how our bodies are built and how they work. It also […]

On the 26th of August, Tõnis Tasa defended his PhD on “Bioinformatics approaches in personalized pharmacotherapy”. Tõnis’s thesis focuses on addressing problems in multiple sub-fields of personalised medicine and aims to illustrate that data for precision medicine emerges from different sources. Conventional therapeutic medicine tackles pathologies with chemical, surgical or radiation-based interventions. Clinicians currently use […]

On the 26th of June, Elena Sügis defended her PhD on “Integration methods for heterogeneous biological data” in which she addresses the question of how to combine and analyze diverse biological data originating from various biological experiments and databases.  Importance of biological data integrationA fast advance in biotechnological innovation and decreasing production costs have led […]

On the 14th of June, Vijayachitra Modhukur defended her PhD on “Profiling of DNA methylation patterns as biomarkers of human disease” in which she addresses the question of how DNA methylation patterns can be used as biomarker candidates as abnormal methylation patterns are studied for early detection, diagnosis and prognosis of disease outcome as well […]

On the 26th of May, Irene Teinemaa defended her PhD on “Predictive and prescriptive monitoring of business process outcomes“, in which she addresses the question on how to train, evaluate and use predictive models for outcome-oriented predictive process monitoring. Every day, we are involved in various business processes. For instance, when booking a hotel, applying […]

Institute of Computer Science PhD student Ilya Verenich defended his thesis on February 11. Here is an overview of his work.  Context. Modern enterprise systems collect a lot of data about the execution of the business processes they support. The widespread availability of such data in companies, combined with advances in machine learning, have led […]