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 […]

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 […]

Mozilla projekt Common Voice tegeleb kõneandmete korjamisega ühisloome teel. Erinevalt tekstiandmetest on kõneandmed palju harvemad ja kõneandmestikud palju väiksemad/kallimad. Teisest küljest sõltuvad nende kättesaadavusest ja suurusest kõnesünteesi ja kõnetuvastuse kvaliteet, eriti kui kasutada kaasaegseid süvaõppel põhinevaid lähenemisi. See on eriti oluline muu hulgas eesti keelele, mille puhul on kõneandmeid väga vähe. Hiljuti lisasime eesti keele […]