The growing availability of biomedical data from multiple sources, as well as the analysis of complex genomic and proteomic data generated by high-throughput biotechnologies, require the design and application of novel software products to extract significant biological knowledge from the huge PACE of the available data.

At the University, innovative artificial intelligence methods and novel algorithmic approaches are being applied to design an array of software applications in bioinformatics ranging from non-coding DNA and gene expression data analysis to biomolecular diagnosis of tumors. Several open-source products have been developed.

• Weeder is a software package for the discovery of conserved transcription binding sites in co-regulated genes.
• Clusterv is a software tool for assessing the reliability of clusters discovered in high dimensional DNA microarray data.
• Novel algorithms and software are being developed in the various branches of medical informatics.QDoppler is a software package for the offline analysis of Doppler images of standard (mitral, aortic, pulmonary flow) and less conventional (coronary flow) traces.
• PERFORMANCES (PERception of FORMs: quantitative ANalysis, Classification, Encoding of Standards) is a software application for the automated analysis of random shapes for the diagnosis of malignant lesions in biopsies.
• FIBREGEOSTAT is a pre-prototype software for the quantitative study of the formation processes of blood vessels in transparent media (allantoid, cornea).