Author

Stefano Gaiarsa

Policlinico San Matteo FondazioneORCID 0000-0002-5847-6568Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genomics· 2 Bioinformatics· 1

Signature Assays, Organisms & Methods

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Assay:whole-genome sequencing· 3 Approach:statistical model· 2 Research Focus:variant calling· 2 Organism:bacteria (other)· 1 Research Focus:benchmarking· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Research Focus:phylogenetics / evolution· 1

Frequent Co-Authors

Davide SasseraiD· 3 shared Claudio BandiiD· 2 shared Fausto BaldantiiD· 2 shared Gherard Batisti BiffignandiiD· 2 shared Greta BellinzonaiD· 2 shared Matteo BrilliiD· 2 shared Alice ChiodiiD· 1 shared Andreas SingiD· 1 shared

Activity by Year

2020-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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3 shared papersGenomics

Davide SasseraORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Fast and efficient Borrelia genome recovery from tick samples using Whole-Genome Amplification

Sophie Melis, Cristina Cezara Bunduc, Laura Mottarlini, Michela Vumbaca, Irene Mileto, Sabrina Hepner, Gabriele Margos, Volker Fingerle, Andreas Sing, Paola Prati, Claudio Bandi, Vittorio Sambri, Stefano Gaiarsa, Fausto Baldanti, Greta Bellinzona, Davide Sassera

This paper introduces a method to recover Borrelia genomes from ticks using Whole Genome Amplification, significantly reducing the time and effort compared to traditional culturing methods.

bioRxiv · Dec 4, 2025 · PreprintGenomics

How to measure bacterial genome plasticity? A novel time-integrated index helps gather insights on pathogens

Greta Bellinzona, Gherard Batisti Biffignandi, Fausto Baldanti, Matteo Brilli, Davide Sassera, Stefano Gaiarsa

The paper introduces a novel index, FOGS, to measure bacterial genome plasticity by incorporating time and gene transfer events, showing higher FOGS in high-risk clones.

bioRxiv · Jan 22, 2024 · PreprintGenomics

Insurgence and worldwide diffusion of genomic variants in SARS-CoV-2 genomes

Francesco Comandatore, Alice Chiodi, Paolo Gabrieli, Gherard Batisti Biffignandi, Matteo Perini, Stéfano Ricagno, Elia Mascolo, Greta Petazzoni, Matteo Ramazzotti, Sara Giordana Rimoldi, Maria Rita Gismondo, Valeria Micheli, Davide Sassera, Stefano Gaiarsa, Claudio Bandi, Matteo Brilli

The paper tracks the emergence and global spread of 7 SARS-CoV-2 amino acid variants, identifying 6 phylogenetic clades with changing frequencies over time.

bioRxiv · Apr 30, 2020 · PreprintBioinformatics