Author

Luca De Sabato

Istituto Superiore di SanitàORCID 0000-0001-9995-8195Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Genomics· 1 Microbiology· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 2 Research Focus:variant calling· 2 Assay:whole-genome sequencing· 2 Research Focus:database / resource· 1 Organism:E. coli· 1 Research Focus:genome assembly· 1 Research Focus:host-pathogen & immune response· 1 Organism:human· 1

Frequent Co-Authors

Arnold KnijniD· 2 shared Gabriele VaccariiD· 2 shared Ilaria Di BartoloiD· 2 shared Stefano MorabitoiD· 2 shared Adrian A. CastellanosiD· 1 shared Aldert ZomeriD· 1 shared Alicen Burns SpauldingiD· 1 shared Ana AmaroiD· 1 shared

Activity by Year

2021-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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2 shared papersGenomics

Arnold KnijnORCID

Mutual co-authors in cluster

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3 papers

Recent·Most cited

MicrobiologyNature MicrobiologyPeer-reviewedSep 16, 2026

Aminopeptidase N is a receptor for hedgehog merbecoviruses

Min Jin, Victoria A. Jefferson, Zhe Zhao…·Michael C. Letko

This study identifies Aminopeptidase N as the receptor for hedgehog merbecoviruses and shows restricted cross-species receptor use.

12 citationstop 1%

humanexperimental assay

𝕏 PostBluesky

GenomicsbioRxivPreprintApr 28, 2026

Population analysis and host-disease associations of Shiga toxin-producing Escherichia coli from various sources across eleven European countries using whole genome sequencing

Rosangela Tozzoli, Tristan Schadron, Arnold Knijn…·Camilla Sekse

This paper analyzes STEC population structure and host-disease associations using whole genome sequencing of 3,418 isolates from 11 European countries, identifying distinct subpopulations linked to disease severity.

DOI 10.64898/2026.04.27.721056

E. coliwhole-genome sequencing

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BioinformaticsbioRxivPreprintJan 16, 2021

SARS-CoV-2 RECoVERY: a multi-platform open-source bioinformatic pipeline for the automatic construction and analysis of SARS-CoV-2 genomes from NGS sequencing data

Luca De Sabato, Gabriele Vaccari, Arnold Knijn…·Stefano Morabito

SARS-CoV-2 RECoVERY is a bioinformatics pipeline for reconstructing and analyzing SARS-CoV-2 genomes from NGS data, offering comparable or better performance than existing tools.

10 citations

whole-genome sequencingexperimental assay

𝕏 PostBluesky