Author

Lapo Mughini‐Gras

National Institute for Public Health and the EnvironmentORCID 0000-0001-5420-949XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Organism:E. coli· 2 Approach:statistical model· 2 Assay:whole-genome sequencing· 2 Research Focus:benchmarking· 1 Research Focus:database / resource· 1 Research Focus:variant calling· 1

Frequent Co-Authors

Aldert ZomeriD· 2 shared Timothy J. DallmaniD· 2 shared Ana AmaroiD· 1 shared Ângela PistaiD· 1 shared Angela van Hoek· 1 shared Arnold KnijniD· 1 shared Brian Byrne· 1 shared Camilla SekseiD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersBioinformatics

Aldert ZomerORCID

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2 papers

Recent·Most cited

BioinformaticsGenomicsPeer-reviewedAug 23, 2026

Exploring differences across pangenome-graph representations using Escherichia coli O157:H7 as a model

Peilin Liu, Kaixin Hu, Lapo Mughini‐Gras…·Julián Paganini

The paper benchmarks pangenome graph construction methods using Escherichia coli O157:H7 genomes, showing that representation strategies and assembly completeness significantly affect graph topology and accuracy.

DOI 10.1016/j.ygeno.2026.111309

E. coliwhole-genome sequencing

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

𝕏 PostBluesky