Quretec together with Department of Computer Science (University of Tartu) forms a joint bioinformatics, algorithmics, and data mining group BIIT. Our main research topics and capabilities include the gene regulation, gene expression data analysis, biological data mining, systems biology, combinatorial pattern matching, developing software for biomedical research databases, as well as partnering in stem cell and cancer related projects.

Quretec has extensive experience working with clinical and biological data. We have created several clinical data management platforms for several biobanks and international research projects. Thus we have first-hand experience with data standards and respective data formats. We have proficiency in analyzing different omics datasets. On top of that we have developed data aggregation method above the current state of the art that enables combining different data types for biomarker discovery. Additionally we have generated database platform that re-uses ever growing number of public expression datasets and allows data comparisons otherwise impossible.

Quretec team consist of multi disciplinary research people from biological, computer science, bioinformatics, clinical trials and statistics background. The bioinformatics and data mining group is led by prof. Jaak Vilo, PhD, who is one of the most cited Estonian scientists. The software development team is led by Margus Jäger, MSc, who has more than 12 years of experience in software development, project management in numerous country wide systems development, including Estonian Genome Project, Estonian census software development, national health registries, and clinical trials.

Quretec - Clinical Trial Planning Service

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