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Francesca Cordero
Socio Ordinario
Professore associato
Department of Computer Science, University of Turin
Contact Information
algorithms,biological data integration,biological data modelling,network systems,sequence analysis,system biology
I obtained a master degree in Biological Science at the University of Torino in 2004. In 2008, I obtained my Ph.D. in Computer Science at the University of Torino. As a Ph.D. student, I spent 8 months at the Department of Genetics, Center for Genome Sciences, Washington University Medical School in St. Louis, (USA), where I carried on her research activity under the guidance of Professor Gary Stormo.

Since 2007 Francesca has developed new algorithms and pipelines to analyze deep sequencing data, i.e. genomic, different types of transcriptomic data (mRNA, short-noncoding RNAs, long-noncoding RNA, circ RNA, methylation data) or single-cell experiments. In 2011 I worked at the Department of Computer Science, University of California Riverside (USA) under Professor Gianfranco Ciardo and Professor Stefano Lonardi. I was involved in the project regarding the assembly of the barley genome. From 2011 to 2020, I was an assistant professor at the Department of Computer Science at the University of Turin. I have experience in the fields of next-generation sequencing analysis, artificial intelligence, systems biology, and genetics/epigenetics investigations. In particular, the main applications are on: cancer genomics and epigenomics, clinical biomarkers identification (in colorectal cancer, cervical cancer, bladder cancer, and for the study of the minimal residual disease in lymphoma), computational modeling, evolutionary genomics and modeling, and mathematical models for cancer progression and treatment response. I work on the application of stochastic models in systems biology to study the mechanisms underlying the kinetics of biochemical reactions. In the systems biology field, her works are also focused on the study of cancer heterogeneity by mathematical and computational formalisms. I co-coordinate the quantitative-biology (q-Bio) Group and of Bioinformatics and Genomics Unit. I am the secretary of the Bioinformatics Italian Society BITS and in 2018 I was the general chair of BITS2018
Tarallo S, Ferrero G, Gallo G, Francavilla A, Clerico G, Realis Luc A, Manghi P, Thomas AM, Vineis P, Segata N, Pardini B, Naccarati A, Cordero F. Altered Fecal Small RNA Profiles in Colorectal Cancer Reflect Gut Microbiome Composition in Stool Samples. mSystems ;4(5). doi: 10.1128/mSystems.00289-19.

Alessandrì L, Cordero F, Beccuti M, Arigoni M, Olivero M, Romano G, Rabellino S, Licheri N, De Libero G, Pace L, Calogero RA. rCASC: reproducible classification analysis of single-cell sequencing data. GigaScience ;8(9).doi: 10.1093/gigascience/giz105.

Genuardi, E., Romano, G., Beccuti, M., ...Calogero, R.A., Cordero, F. Application of the Euro Clonality next-generation sequencing-based marker screening approach to detect immunoglobulin heavy chain rearrangements in mantle cell lymphoma patients: first data from the Fondazione Italiana Linfomi MCL0208 trial British Journal of Haematology, 2021

Pernice, S., Castagno, P., Marcotulli, L., ...Cordero, F., Beccuti, M. Impacts of reopening strategies for COVID-19 epidemic: a modeling study in Piedmont region BMC Infectious Diseases, 2020, 20(1), 798

Alessandrì, L., Cordero, F., Beccuti, M., ...Pace, L., Calogero, R.A. RCASC: Reproducible classification analysis of single-cell sequencing data GigaScience, 2019, 8(9), giz105

Thomas, A.M., Manghi, P., Asnicar, F., Cordero .F ... .Naccarati, A., Segata, N.Metagenomic analysis of colorectal cancer datasets identifies cross-cohort microbial diagnostic signatures and a link with choline degradation Nature Medicine, 2019, 25(4), pp. 667–678

Master in Molecular and Cellular Biology:
Systems Biology

Laurea magistrale in informatica

Laurea Triennale in Scienze Biologiche:
Elaborazione informatica dei dati sperimentali