All SysBio publications are available through PORTO, the Open Repository of publications produced by the scientific community of Politecnico di Torino.
We are involved in several national and international collaborative research projects co-funded by the European Commission or by national research fundings.
We actively collaborate with international academic and industrial partners. Learn more about companies and research institutions collaborating with us.
Tools and downloads
As computer scientists we are highly committed to Open Source. Most of our developed code is released under Open Source licenses and is available on this website for free download.
We study the complexity of cellular life using experimental and computational methods that span the genome to the phenotype. Developing, integrating, and applying new methods allow us to gain a systems view of life from bacteria to human.
Why Systems Biology
Systems biology has ushered in the future of research. Systems Biology embraces biological complexity and fearlessly sets about deciphering vast amounts of data in order to gain valuable insights and achieve breakthroughs across scientific disciplines.
Why Get Involved
The only true limits to progress are whether we have a critical mass of the right people engaged in our science, a critical mass of the right collaborators, and a critical mass of the funding required to scale our work across the range of human health and environmental challenges.
Modeling, simulation and analysis of complex biological networks
Integration and analysis of complex datasets
Application of complex machine learning techniques to personalized and system medicine cases
Analysis of medical and biological images for computer aided diagnosis.
- CAFA3 paper accepted for publication
- FisHUB project successfully completed
- “One DB to rule them all” – The RING: a Regulatory INteraction Graph combining TFs, genes/proteins, SNPs, diseases, and drugs.” accepted for publication in Database: The Journal of Biological Databases and Curation
- theRING Database
- SysBio Group @ TechShare DAY 2019
Stefano Di Carlo
Several people have contributed to build our group as it is today.
Without the support of strongly motivated MS / Ph.D. students and Post. Docs we would not have been able to achieve the results we reached over the years. Several of our former colleagues built an outstanding career either in other universities or top level enterprises. Read more
Great news arriving for our group!!!!!
Dear CAFA3/Pi paper co-author,
“The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens” has been accepted for publication to Genome Biology. Congratulations and thank you for your contribution to this work. It is an honor to be part of such a large, collegial, and hard-working community that makes CAFA possible
The FisHUB FP7 EU project is now successfully completed. Watch our teaser and visit our website https://www.fishub.eu/ to discover the results of this exciting project.
“One DB to rule them all” – The RING: a Regulatory INteraction Graph combining TFs, genes/proteins, SNPs, diseases, and drugs.” accepted for publication in Database: The Journal of Biological Databases and Curation
Dear prof. Benso,
It is a pleasure to accept your manuscript entitled “One DB to rule them all” – The RING: a Regulatory INteraction Graph combining TFs, genes/proteins, SNPs, diseases, and drugs.” in its current form for publication in DATABASE.
TheRing is a searchable database that integrates data coming from 38 public sources of -omics data.
We are presenting our invention “A Method to Improve Automated Cell Culture Processes” at the TechShare DAY 2019 in Via Nizza 52, Torino (Italy). If you are around visit our stand.
“Modeling biological complexity using Biological System Description Language (BiSDL)” presentation at IEEE BIBM 2018
On Wednesday, December 5th, 2018 Prof. Stefano Di Carlo will give an oral presentation about our work “Modeling biological complexity using Biology System Description Language (BiSDL)” at the IEEE International Conference of Bioinformatics and Biomedicine (BIBM 2018) in Madrid, Spain.
“Modeling antibiotic resistance in the microbiota using multi-level Petri Nets” now available online
Our paper “Modeling antibiotic resistance in the microbiota using multi-level Petri Nets” is now available online at this link. Background The unregulated use of antibiotics not only in clinical practice but also in farm animals breeding is causing an unprecedented growth of antibiotic-resistant bacterial strains. This problem can be analyzed at different levels, from the antibiotic Read more about “Modeling antibiotic resistance in the microbiota using multi-level Petri Nets” now available online[…]
On Wednesday, November 21st, Prof. Alfredo Benso will give a talk about engineering challenges in life sciences.
See you there!
Our work “Modeling biological complexity using Biology System Description Language (BiSDL)” has been accepted as a short paper for oral presentation and publication in the proceedings of the IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2018) taking place in Madrid Dec 3rd-6th 2018.
Our book chapter “Computational Tools for Applying Multi-level Models to Synthetic Biology” from the Springer Book “Synthetic Biology – Omics Tools and Their Applications” is now available online at https://link.springer.com/chapter/10.1007/978-981-10-8693-9_7