Stefano Ceri

The paper identifies distinctive H5N1 viral genome signatures linked to repeated spillovers into U.S. dairy cattle, highlighting genetic diversity and geographic origins.

FluWarning detects emerging influenza A virus spillovers using codon bias and dinucleotide composition anomalies, identifying pdm09 and B3.13 genotypes before their spread.

This paper introduces RecombinHunt, a data-driven method for detecting recombinant viral genomes, which accurately identifies recombinant SARS-CoV-2 lineages and applies to other viral epidemics.

This paper identifies statins as having anticancer effects through synthetic lethality, validated in vitro on breast, ovarian, and cervical cancer cell lines.

The paper analyzes amino acid change dynamics in SARS-CoV-2 sequences to track variant emergence and evolution using data-driven methods.

The paper describes a biobanking initiative collecting genetic and clinical data from over 1,000 SARS-CoV-2-positive individuals to study multi-organ involvement and genetic factors in COVID-19 severity.

This study identifies 13 genome-wide significant loci associated with SARS-CoV-2 infection or severe COVID-19 through a global meta-analysis of 49,562 patients.

The paper proposes a post-Mendelian genetic model integrating common and rare variants to predict severe vs. mild COVID-19 outcomes in an Italian cohort.

ViruSurf is a database that integrates viral sequences and metadata from multiple sources, enabling complex searches to support research on viral sequences and their variants.

The paper introduces the Viral Conceptual Model (VCM) to organize and query virus sequence data, demonstrating its utility with SARS-CoV-2 and linking it to host phenotype data.

The paper investigates how CTCF site orientation relates to TAD structure by analyzing 4C data and spatial CTCF patterns, finding divergent sites at TAD boundaries and convergent sites within TADs.