Development of computational and machine learning algorithms and implementation of databases for knowledge representation and discovery in the life sciences.
The Data Sciences in Life Sciences team is implementing software and database solutions for various biological, chemical and clinical problems including analysis of cancer OMICs data, alternative splicing, enhancing diagnostic assays, drug development and designing protein and enzyme macromolecules.
Domain(s) of application
Basic research
Medicine and health
Domain of activity
Proteins and proteomes