Sulev Reisberg töötab Tartu Ülikooli arvutiteaduse instituudis selle nimel, et selgitada välja, milline on Eesti rahva tervis ja kuidas seda tõhusamalt ravida. Arvutid ja programmeerimine huvitasid mind juba lapsest saati. Lõin arvutimänge ja veebilehti ning seetõttu tundus loomulik samm minna ülikooli IT-d õppima. Pärast Tallinna Tehnikaülikoolis omandatud magistrikraadi olin aga kindel, et teadus pole minu […]

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 […]

Maarja tegutseb arvutiteaduse instituudis terviseinformaatika nooremteadurina ja loob oma teadustöös võimalusi terviseandmete visualiseerimiseks ja andmestike võrdlemiseks visuaalsete vahenditega. Teda usutles andmeteaduse õppetooli juhataja professor Jaak Vilo. (Foto: Marja-Liisa Plats) Oled hiljuti saanud palju tähelepanu oma teadustulemuste populariseerimisel. Räägi oma doktoritööst veidi lähemalt. Töötan terviseinformaatika uurimisgrupis, kus meie eesmärk on koostöös meditsiiniekspertidega parandada Eesti inimeste tervist […]

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. […]

Jaak Vilo, Kallol Roy Algorithmics (MTAT.03.238) is an obligatory course in the Computer Science MSc curriculum. As such it is intended to remind everyone of the foundations of algorithms and data structures but also to go beyond and teach some more advanced concepts (like succinct data structures, for example).  The course aims at linking different […]

Kaur Alasoo on Tartu Ülikooli arvutiteaduse instituudi bioinformaatika lektor. Tema artikkel ilmus Õhtulehes 22. mail 2022. Tegu on eesti noorte teaduste akadeemia algatatud artiklisarjaga “ElemENTAarne”, kus noorteadlased kirjutavad põnevatest teadustulemustest ja näitavad, kuidas teadus meie elu rikastab. Miks on nii, et teadlased suutsid vähem kui aastaga välja arendada mitu konkureerivat koroonaviiruse vastast vaktsiini, aga meil […]

We are currently in the process of significant changes in the communications paradigms. Among others, one of the changes is moving to cloud-based services instead of using local applications (Office365, Youtube, Spotify, etc.). We can argue about the motivation of this trend, but this allows us to provide the customers with the most up-to-date solutions […]

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 […]