Author

Abhinav Sharma

South African Medical Research CouncilORCID 0000-0002-6402-6993Unclaimed 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:phylogenetics / evolution· 2 Research Focus:variant calling· 2 Assay:whole-genome sequencing· 2 Research Focus:cell type annotation· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Organism:human· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Annelies Van RieiD· 1 shared Bettina Chale-MatsauiD· 1 shared Davi Josué MarconiD· 1 shared Emilyn Costa ConceiçãoiD· 1 shared Gian D van der SpuyiD· 1 shared Johannes LoubseriD· 1 shared Justice Trésor NgomiD· 1 shared Karla Valéria Batista LimaiD· 1 shared

Activity by Year

2023-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 14 mutual co-author links

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1 shared paperGenetic & Genomic Medicine

Annelies Van RieORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

MTBseq-nf: Enabling Scalable Tuberculosis Genomics "Big Data" Analysis through a User-Friendly Nextflow Wrapper for MTBseq pipeline

Abhinav Sharma, Davi Josué Marcon, Johannes Loubser, Karla Valéria Batista Lima, Gian D van der Spuy, Emilyn Costa Conceição

The paper introduces MTBseq-nf, a Nextflow wrapper for the MTBseq pipeline, improving scalability and efficiency for tuberculosis genomics analysis.

Microorganisms · Nov 25, 2025Peer-reviewedBioinformatics

Examining the composition of gut microbiota in a South African population: a comparative study between type 2 diabetes mellitus patients and non-diabetic individuals

Sara Mosima Pheeha, Justice Trésor Ngom, Abhinav Sharma, Bettina Chale-Matsau, Kristien Nel Van Zyl, Samuel Manda, Peter Suwirakwenda Nyasulu

This study compares gut microbiota composition between type 2 diabetes mellitus patients and non-diabetic South Africans, finding distinct microbial profiles and associations with inflammation markers.

bioRxiv · Jul 16, 2025 · PreprintMicrobiology

The MAGMA pipeline for comprehensive genomic analyses of clinical Mycobacterium tuberculosis samples

Tim H. Heupink, Lennert Verboven, Abhinav Sharma, Vincent Rennie, Miguel de Diego Fuertes, Robin M. Warren, Annelies Van Rie

The MAGMA pipeline improves variant calling and drug resistance analysis for Mycobacterium tuberculosis samples with low coverage and high contamination.

medRxiv · Oct 4, 2023 · PreprintGenetic & Genomic Medicine