Author

Léonid M. Irenge

UCLouvainORCID 0000-0001-7924-7046Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Genetics· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Assay:whole-genome sequencing· 3 Organism:bacteria (other)· 2 Research Focus:benchmarking· 1 Research Focus:clustering· 1 Approach:experimental assay· 1 Research Focus:software / tool· 1 Research Focus:variant calling· 1

Frequent Co-Authors

Bertrand BearzattoiD· 3 shared Jean‐Luc GalaiD· 3 shared Jérôme AmbroiseiD· 3 shared Jean-François Durant· 2 shared Godfrey BwireiD· 1 shared Jean‐François DurantiD· 1 shared Maxime BonjeaniD· 1 shared Oscar Colin StineiD· 1 shared

Activity by Year

2019-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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3 shared papersGenetics

Bertrand BearzattoORCID

Mutual co-authors in cluster

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3 papers

Recent·Most cited

GeneticsbioRxivPreprintJan 10, 2023

Genomic characterization of multidrug-resistant extended spectrum β-lactamase-producing Klebsiella pneumoniae from clinical samples of a tertiary hospital in South Kivu Province, eastern Democratic Republic of Congo

Léonid M. Irenge, Jérôme Ambroise, Bertrand Bearzatto…·Jean‐Luc Gala

This study characterizes multidrug-resistant ESBL-producing K. pneumoniae isolates from a DRC hospital, identifying genetic diversity and resistance patterns.

DOI 10.1101/2023.01.10.523520

whole-genome sequencingstatistical model

𝕏 PostBluesky

GenomicsPLoS neglected tropical diseasesPeer-reviewedApr 20, 2020

Genomic analysis of pathogenic isolates of Vibrio cholerae from eastern Democratic Republic of the Congo (2014-2017)

Léonid M. Irenge, Jérôme Ambroise, Prudence Ndeba Mitangala…·Jean‐Luc Gala

This study analyzes genomic data from Vibrio cholerae isolates in eastern DRC to identify genetic clusters and their geographic spread across neighboring countries.

38 citations

bacteria (other)whole-genome sequencing

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BioinformaticsPLoS ONEPeer-reviewedDec 11, 2019

Backward compatibility of whole genome sequencing data with MLVA typing using a new MLVAtype shiny application: the example of Vibrio cholerae

Jérôme Ambroise, Léonid M. Irenge, Jean-François Durant…·Jean‐Luc Gala

The paper introduces MLVAType, a tool that extracts MLVA profiles from WGS data while maintaining compatibility with traditional MLVA methods, and identifies limitations in k-mer size affecting accuracy.

11 citations

bacteria (other)whole-genome sequencing

𝕏 PostBluesky