The objective of the research is the development of efficient and scalable algorithms for high throughput analysis of biological and genomic data, in order to help getting useful indication in a -highly competitive- timely manner. More precisely the areas of interest are:
Simple and structured motif identification and extraction; Tandem repeat identification and extraction; Microarray Gene Expression Data Analysis; SNP Haplotyping Analysis; Metabolic Networks Analysis and Diseases and Gene Expression Profiling Classification.
Furthermore, we aim to develop tools that allow the visualization and the analysis of raw and processed biological data.
