Computtional Biomedicine Laboratory

The COMBINE Lab is an interdisciplinary laboratory focused on advanced research in the field of computational methods applied to biomedicine. The main goal of the Lab is to develop and implement new computational approaches properly devised for the analysis and integration of data belonging to the domain of genomics, epigenomics, transcriptomics, proteomics, metabolomics and phenomics, aiming at the improvement of biomedical research and diagnostics.

The scientific and technological foundations of the activities at the COMBINE lab are covered in the courses of the Master’s Degree program in Biomedical Engineering. The curriculum 'Bioengineering for Personalized and Precision Medicine' includes three courses on computer science applied to molecular biology and biomedicine (Systems Biology, Computational Genomics, and Single Cell Omics), which provide a broad and cutting-edge overview of the use of next-generation technologies for studying complex biological systems, with a particular focus on biomedical applications.

Development of computational methods for Cancer Genomics and Epigenomics Development of computational and experimental methods for Diagnostic Genomics Third Generation Sequencing Single Cell Sequencing Artificial Intelligence for Genomic Analysis

The COMBINE Lab collaborates with numerous national and international research groups on the development of computational methods for the analysis of genomic, epigenomic, and transcriptomic data in biomedical applications:

• Scientific collaboration with the research group led by Prof. Tommaso Pippucci (University of Bologna, Bologna) on the development of new computational strategies for third generation cyto- genomics.
• Scientific collaboration with the research group led by Prof. Pier Giuseppe Pelicci (European Institute of Oncology, Milan) on the development of new computational methods for the ana- lysis of nanopore sequencing data in the study of genomic and epigenomic alterations in cancer.
• Scientific collaboration with the research group led by Prof. Paola Romagnani (Meyer Children’s Hospital and University of Florence, Florence) on the development of new computational methods for the analysis of Single Cell RNA sequencing data in nephrology.
• Scientific collaboration with the research group led by Prof. Francesco Annunziato (University of Florence, Florence) on the development of new computational methods for the analysis of Single Cell RNA sequencing data in immunology.
• Scientific collaboration with the research group led by Prof. Benedetta Nacmias (University of Florence, Florence) on the analysis of third-generation sequencing data in the study of genomic and epigenomic alterations in neurodegenerative diseases.
• Scientific collaboration with the research group led by Prof. Augusto Vaglio (Meyer Children’s Hospital and University of Florence, Florence) on the analysis of nanopore sequencing data in the study of genomic and epigenomic alterations in nephrological diseases.
• Scientific collaboration with the research group led by Dr. Simona De Summa (Giovanni Paolo II Cancer Institute, Bari) on the development of new computational methods for the analysis of third-generation sequencing data in the study of liquid biopsy in colorectal cancer.

Associate Professors: Alberto Magi

Post-Doc : Roberto Semeraro, Alessandra Mingrino, Gianluca Mattei

PhD Students: Marta Baragli, Giulia Carangelo, 

Research Fellows: Ilaria Alfissi, Andrea Bimbocci, Francesca Ciapi

Alberto Magi

Cubo 2, Padiglione 27 (II Floor)
Viale Pieraccini, 6
50139 Firenze