Author

Jean Claude Semuto Ngabonziza

Rwanda Biomedical CenterORCID 0000-0002-6075-5603Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Genetic & Genomic Medicine· 1 Microbiology· 1

Signature Assays, Organisms & Methods

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Research Focus:database / resource· 2 Approach:experimental assay· 2 Approach:statistical model· 2 Research Focus:variant calling· 2 Assay:whole-genome sequencing· 2 Research Focus:benchmarking· 1 Assay:clinical cohort / trial· 1 Assay:DNA methylation· 1

Frequent Co-Authors

Bouke Catherine de JongiD· 2 shared Claude Mambo MuvunyiiD· 2 shared Noël GahamanyiiD· 2 shared Adaora EjikemeiD· 1 shared Agnes Gasengayire· 1 shared Alexis RugambaiD· 1 shared Alhaji S. OlonoiD· 1 shared Alice Kabanda· 1 shared

Activity by Year

2019-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 38 mutual co-author links

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2 shared papersMicrobiology

Bouke Catherine de JongORCID

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3 papers

Recent·Most cited

MicrobiologyJournal of Clinical MicrobiologyPeer-reviewedMar 3, 2025

Direct thin-layer agar for bedaquiline-susceptibility testing of Mycobacterium tuberculosis at BSL2 level yields high accuracy in 15 days from sputum processing.

Isabel Cuella Martin, Docteur Runyambo, S. De Bock…·L. Rigouts

This paper evaluates thin-layer agar (TLA) for faster, accurate bedaquiline-susceptibility testing of Mycobacterium tuberculosis directly from sputum samples, achieving high sensitivity and reducing time to result.

DOI 10.1128/jcm.01806-24

humanclinical cohort / trial

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Genetic & Genomic MedicinemedRxivPreprintNov 1, 2024

Genomic characterization uncovers transmission dynamics of Marburg Virus in Rwanda following a single zoonotic spillover event

Yvan Butera, Léon Mutesa, Edyth Parker…·Claude Mambo Muvunyi

The paper uses genomic analysis to show the Rwanda MVD outbreak originated from a single zoonotic event with limited human-to-human transmission.

5 citations

DNA methylationwhole-genome sequencing

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BioinformaticsPeerJPeer-reviewedAug 26, 2019

Bridging the TB data gap: in silico extraction of rifampicin-resistant tuberculosis diagnostic test results from whole genome sequence data

Kamela Charmaine S. Ng, Jean Claude Semuto Ngabonziza, Pauline Lempens…·Conor Joseph Meehan

The paper develops a tool to convert whole genome sequencing data into rifampicin-resistant tuberculosis diagnostic test results, enabling analysis of RR-TB burden across different data sources.

6 citations

whole-genome sequencingstatistical model

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