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We develop our main scientific work in the fields of systems biology and bioinformatics by high-performance computing techniques and tools. In this context, the life cycle of any scientific activity follows that of the wet-lab experiment, which each of them is linked to, in order to enhance cooperation and the overall quality of the outcomes.

We study biological networks and interactive systems by:

  1. Framing and modeling the biological events through formal and standard languages;
  2. Analyzing structural, static and dynamic properties (topology inspection, Importance ranking, logic properties verification, pedigree analysis);
  3. Simulating complex macro-events;
  4. Planning and scheduling experimental workflows;
  5. Efficiently handling and managing biological data.

We also deal with:

  1. NGS data analysis (mapping, targeted resequencing, exon counting, small InDels, SNPs, CNVs and fusion splicing finding);
  2. Microarray data analysis (pre-processing, segmentation and CNVs finding, allele-specific genotyping);
  3. Analysis of the potential risks of the genetic mutations according to protein structure changes and to ancestral conservation evidences.

Most activities encompass the implementation of high performance software packages or routines.