Author

Stefano Morabito

Istituto Superiore di SanitàORCID 0000-0003-2467-2912Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Signature Assays, Organisms & Methods

Click to filter · or open tag

Assay:whole-genome sequencing· 3 Research Focus:database / resource· 2 Approach:experimental assay· 2 Research Focus:variant calling· 2 Organism:E. coli· 1 Research Focus:genome assembly· 1 Research Focus:software / tool· 1 Approach:statistical model· 1

Frequent Co-Authors

Arnold KnijniD· 3 shared Luca De SabatoiD· 2 shared Valeria MichelacciiD· 2 shared Aldert ZomeriD· 1 shared Ana AmaroiD· 1 shared Ângela PistaiD· 1 shared Angela van Hoek· 1 shared Brian Byrne· 1 shared

Activity by Year

2020-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

3 shared papersBioinformatics

Arnold KnijnORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

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, Luca De Sabato, Stefano Morabito, Margherita Montalbano Di Filippo, Eve Zeyl Fiskebeck, Gro Skøien Johannessen, Jeevan Karloss Antony Samy, Linnea Good, Robert Söderlund, Angela van Hoek, Lapo Mughini‐Gras, Eelco Franz, Kinga Wieczorek, , 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.

bioRxiv · Apr 28, 2026 · PreprintGenomics

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, Giovanni Ianiro, Ilaria Di Bartolo, 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.

bioRxiv · Jan 16, 2021 · PreprintBioinformatics

Advanced Research Infrastructure for Experimentation in genomicS (ARIES): a lustrum of Galaxy experience

Arnold Knijn, Valeria Michelacci, Massimiliano Orsini, Stefano Morabito

The paper describes the development and growth of the ARIES platform over five years as a Galaxy-based system for genomic and epidemiological data analysis in molecular epidemiology.

bioRxiv · May 14, 2020 · PreprintBioinformatics