Our group works on developing and applying modern high-throughput computational tools to analyse biological data, especially genomic sequences, proteins, and transcripts in a functional and evolutionary context.

The major interest of our group is focused on computational analysis of non-canonical small RNAs and RNA secondary structure using high throughput sequencing data.

Our laboratory focuses on resolving the molecular details of ligand transport processes in proteins mainly relying on structural bioinformatics and computational simulations.

Our lab’s aim is to integrate different levels of omics data information to decipher the mechanisms behind the development of pancreatic b-cells and their defects in diabetes (Polonez Bis 1 project).

Our research concentrates on applications of integrative genomics and in silico modelling and virtual screening to understand, diagnose, and treat kidney cancer, atherosclerosis and infectious diseases.

Our research concentrates on applications of integrative genomics and in silico modelling and virtual screening to understand, diagnose, and treat kidney cancer, atherosclerosis and infectious diseases.