Bioinformatics and Computational Biology

The analysis of modern biological, physical, and biomedical data sets requires advanced computational skills to address the several challenges that arise due to the noisy nature of such data, to the intricate relations among different components the data, and, in many cases, to its sheer size.

We develop, analyze, and use algorithms and computational techniques for processing biological and biomedical datasets, with applications in several areas including: DNA sequencing, RNA sequencing, cancer genomics, metagenomics, proteomics.

The researchers in this area are all deeply involved in the Bioinformatics curriculum of the Laurea Magistrale in Computer Engineering.


Specific fields:

  • Algorithms and Data Structures for Genome Analysis
  • Algorithms for DNA and RNA Sequencing Data
  • Analysis of Biological Networks
  • Biomarker Selection
  • Computational Cancer Genomics
  • Computational Methods for Metagenomics
  • Machine Learning for Biology and Medicine
  • Protein-protein Docking




Matteo Comin 

Barbara Di Camillo 

Carlo Ferrari  

Cinzia Pizzi

Fabio Vandin