Computational oncology · Mutational processes · Multi-omics
Translational Bioinformatics Laboratory (TBL)
We develop advanced computational and statistical methods to study cancer evolution, mutational processes and multi-omics heterogeneity, bridging fundamental biology with clinical applications.
The lab is based at the Department of Medicine and Surgery, University of Milano-Bicocca, and works at the intersection of computer science, statistics, genomics and oncology.
Research pillars
Cancer evolution & clonal dynamics
Models and algorithms to reconstruct tumour progression from single-cell, multi-region and longitudinal sequencing data.
Mutational signatures & genomic processes
High-resolution characterization of mutational processes shaping tumour genomes and their association with prognosis and therapy.
Multi-omics integration & stratification
Machine learning frameworks to integrate genomic, transcriptomic and clinical data and identify clinically relevant tumour subtypes.
Translational bioinformatics
Collaborations with clinicians in oncology and haematology to derive biomarkers, risk models and decision support tools directly from patient data.
Latest news & events
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May 2026 – ProgEvo / IPSS-M-Evo published in NEJM Evidence
The lab introduces an evolution-informed prognostic score for myelodysplastic syndromes, with a linked editorial highlighting the move from static mutation lists to dynamic clonal-evolution risk.
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2026 – My First AIRC Grant (MFAG 2025)
Daniele Ramazzotti is awarded a My First AIRC Grant (MFAG 2025) by Fondazione AIRC for Cancer Research.
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2025 – EvoClin wins the Premio Nazionale Innovazione (PNI) 2025
EvoClin, a university spin-off project under development, wins the PNI 2025 award in the Life Sciences & MedTech category.
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2025 – NRF2-based signature across cancers
The ASTUTE framework identifies an NRF2 expression signature with prognostic value across multiple tumour types, in collaboration with clinical and experimental groups at UniMiB and San Gerardo.
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Highlights
Publications
70+ peer-reviewed publications across NEJM Evidence, Nature, Nature Cancer, Nature Communications, Nucleic Acids Research, Cancer Discovery, iScience and others.
Software
Open-source tools including ASCETIC, RESOLVE, SparseSignatures, CIMLR, SIMLR, VERSO, TRONCO, LACE and more, widely used in cancer genomics.
Funding & recognition
PI or co-PI on competitive grants including PRIN 2022, PRIN PNRR, Ricerca Finalizzata, Bicocca University Starting Grant, BRCA Foundation Young Investigator Award and ICI Discovery Grant.