Author

G. V. Zuccotti

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Microbiology· 3

Signature Assays, Organisms & Methods

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Research Focus:clustering· 2 Approach:experimental assay· 2 Organism:bacteria (other)· 1 Approach:deep learning· 1 Assay:DNA methylation· 1 Research Focus:host-pathogen & immune response· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

F. Comandatore· 3 shared A. Piazza· 2 shared M. Perini· 2 shared A. Alvaro· 1 shared A. Cafiso· 1 shared A. Cavallero· 1 shared A. R. Pasala· 1 shared C. Bandi· 1 shared

Activity by Year

2020-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 28 mutual co-author links

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3 shared papersMicrobiology

F. Comandatore

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

P-DOR, an easy-to-use pipeline to reconstruct outbreaks using pathogen genomics

G. Batisti Biffignandi, G. Bellinzona, G. Petazzoni, D. Sassera, G. V. Zuccotti, C. Bandi, F. Baldanti, F. Comandatore, S. Gaiarsa

P-DOR is a pipeline that uses pathogen genomics to reconstruct outbreaks by analyzing SNP-based phylogenies and metadata, providing a user-friendly tool for epidemiological investigations.

bioRxiv · May 30, 2023 · PreprintMicrobiology

Hypervariable-Locus Melting Typing (HLMT): a novel, fast and inexpensive sequencing-free approach to pathogen typing based on High Resolution Melting (HRM) analysis

M. Perini, A. Piazza, S. Panelli, S. Papaleo, A. Alvaro, F. Vailati, M. Corbella, F. Saluzzo, F. Gona, D. Castelli, C. Farina, P. Marone, D. M. Cirillo, A. Cavallero, G. V. Zuccotti, F. Comandatore

HLMT provides a fast, inexpensive, sequencing-free pathogen typing method using HRM analysis, comparable to PFGE, MLST, and WGS for detecting high-risk clones in hospitals.

bioRxiv · Jul 1, 2021 · PreprintMicrobiology

Repeatability and reproducibility of the wzi High Resolution Melting-based clustering analysis for Klebsiella pneumoniae typing

A. R. Pasala, M. Perini, A. Piazza, D. Di Carlo, C. Loretelli, A. Cafiso, S. Inglese, G. V. Zuccotti, F. Comandatore

This study evaluates the repeatability and reproducibility of a wzi HRM-based clustering method for K. pneumoniae typing across different instruments and operators.

AMB Express · Dec 14, 2020Peer-reviewedMicrobiology