Author

Mirko Rossi

University of HelsinkiORCID 0000-0002-1585-6384Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Mirko Rossi2 papers

Biology Disciplines

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Bioinformatics· 1 Genomics· 1 Microbiology· 1

Signature Assays, Organisms & Methods

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Organism:bacteria (other)· 3 Approach:statistical model· 3 Assay:whole-genome sequencing· 3 Research Focus:clustering· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Research Focus:host-pathogen & immune response· 1 Research Focus:software / tool· 1

Frequent Co-Authors

João André CarriçoiD· 2 shared Ann-Katrin Llarena· 1 shared Dillon Oliver Reese BarkeriD· 1 shared Diogo Nuno SilvaiD· 1 shared Eduardo Napoleon TaboadaiD· 1 shared Féderica PalmaiD· 1 shared Jacob Moran‐GiladiD· 1 shared Mário RamireziD· 1 shared

Activity by Year

2016-2018 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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2 shared papersGenomics

João André CarriçoORCID

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3 papers

Recent·Most cited

GenomicsbioRxivPreprintApr 16, 2018

Rapid Identification of Stable Clusters in Bacterial Populations Using the Adjusted Wallace Coefficient

Dillon Oliver Reese Barker, João André Carriço, Peter Kruczkiewicz…·Eduardo Napoleon Taboada

The paper introduces nAWC to identify stable clusters in bacterial populations using WGS data, showing it produces robust clusters that reflect population structure.

12 citations

bacteria (other)whole-genome sequencing

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BioinformaticsMicrobial GenomicsPeer-reviewedMar 1, 2018

chewBBACA: A complete suite for gene-by-gene schema creation and strain identification

Mickael Silva, Miguel P. Machado, Diogo Nuno Silva…·João André Carriço

The paper introduces chewBBACA, a software suite for creating gene-by-gene schemas and identifying bacterial strains, offering scalable and open-source solutions for genomic epidemiology.

463 citationstop 1%

bacteria (other)whole-genome sequencing

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MicrobiologybioRxivPreprintOct 1, 2016

Use of whole-genome sequencing in the epidemiology of Campylobacter jejuni infections: state-of-knowledge

Ann-Katrin Llarena, Mirko Rossi

This review evaluates the use of whole-genome sequencing in tracking Campylobacter jejuni infections, highlighting its benefits and challenges in outbreak investigations.

DOI 10.1101/078550

bacteria (other)whole-genome sequencing

𝕏 PostBluesky