Kaur Alasoo, Associate Professor of Bioinformatics at the Institute of Computer Science, University of Tartu, has combined computer science and molecular biology in his research to find new ways of predicting the effects of genetic variants and to better understand rare diseases. He was interviewed by Professor Jaak Vilo, Head of the Chair of Data […]

Djeane Debora Onthoni has joined the Health Data and AI research group at the University of Tartu’s Institute of Computer Science, bringing international expertise in applying AI to health data analysis and precision medicine. He was interviewed by professor Jaak Vilo, Head of the Chair of Data Science. You recently came to Estonia to the […]

Imagine a room with millions of mysterious switches and hundreds of ceiling lamps. You don’t know which switch does what, but you’re curious. As you experiment with different combinations, the lamps’ brightness varies. This scene is a simple metaphor for the complex challenge of genomics research – understanding how different genetic ‘switches’ affect our health. […]

You can find out more about Kristiina Rahkema’s PhD thesis in English here.  Nutitelefonidest on saanud meie elu lahutamatu osa. Iga asja jaoks on olemas äpp: sõnumite saatmiseks, internetipanga külastuseks, auto lukust avamiseks. Kahjuks on paljud neist rakendustest ebaturvalised. Turvavigu on avastatud sellistes rakendustes nagu Facebook, TikTok ja WhatsApp. Nende turvavigade raskusaste võib ulatuda andmelekkest […]

The article was initially published in Ekspress by Greete Lehepuu. The app works like Google Maps: given genetic coordinates associated with a disease it finds which gene is likely to cause the disease and in which tissue. Imagine that the only way to find your way in an unknown city is to buy the map […]

By Dmytro Fishman, Junior Lecturer of Data Science The human organism is a profoundly complex mechanism, consisting of trillions of cells, each powered by about 42 million protein molecules that interact with one another in a gazillion of ways. Recently, scientists developed technologies (i.e. high-throughput screening) that enable us to listen and record data from […]

On June 28, Dmytro Fishman defended his PhD thesis on “Developing a data analysis pipeline for automated protein profiling in immunology”. In this work, Dmytro and his collaborators explored the dynamics of autoimmune diseases as well as developed a software tool that simplifies similar research in the future. Proteins are essential elements of all living […]

On June 21, Liis Kolberg defended her PhD thesis on “Developing and applying bioinformatics tools for gene expression data interpretation” which provides convenient tools that simplify the work of biologists and saves their time.  Modern technologies enable researchers to simultaneously measure the expression levels of all genes under different conditions and in different groups of […]

While human average life expectancy has surged in the past century, a growing concern is a rising disease burden in the later stages of life. It is well known that lifestyle choices can help to prevent or delay disease onset, but once the disease has manifested, medical treatment (such as in the form of drugs) […]

We are glad to announce that the Association for Computing Machinery (ACM) has recognized Prof. Jaak Vilo as their Senior Member being the first researcher from Estonia who has received this prestigious title. ACM is the world’s largest educational and scientific computing society, which every year awards its members, who for years have demonstrated performance […]

On October 13, Ardi Tampuu defended his PhD thesis „Neural networks for analyzing biological data“. In his thesis, it was demonstrated the benefits of ANNs in analyzing two biological datasets. First, they investigated if based only on the information contained within a DNA snippet it is possible to predict if the snippet originates from a […]

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 […]