Author

Fadheela Patel

University of Cape TownPrimary ORCID profile (0000-0001-5177-7416 · 2 papers)Unclaimed ORCID profile · follow to get notified of new preprints

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Same name, identified by ORCID

Fadheela PateliD2 papers · South African Medical Research Council

Biology Disciplines

Click to filter author papers

Genomics· 1 Microbiology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:clustering· 2 Approach:statistical model· 2 Organism:human· 1 Assay:metagenomics· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Amy S. Graham· 1 shared Andre van der Kouwe· 1 shared Angela B. BrueggemanniD· 1 shared Anna E. SheppardiD· 1 shared Francesca Little· 1 shared Heather Joy ZariD· 1 shared Iman YassineiD· 1 shared James E. BrayiD· 1 shared

Activity by Year

2024-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperMicrobiology

Amy S. Graham

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Understanding the population structure of Moraxella catarrhalis using core genome multilocus sequence typing (cgMLST) and a life identification number (LIN) code classification system

Iman Yassine, Keith A. Jolley, James E. Bray, Melissa J. Jansen van Rensburg, Fadheela Patel, Anna E. Sheppard, Heather Joy Zar, Veronica Allen, Lemese Ah Tow, Martin C. J. Maiden, Mark Patrick Nicol, Angela B. Brueggemann

The paper develops a cgMLST scheme and LIN code system to classify Moraxella catarrhalis lineages, revealing two divergent seroresistant and serosensitive lineages with distinct genetic and virulence characteristics.

bioRxiv · Apr 30, 2025 · PreprintGenomics

Using short-read 16S rRNA sequencing of multiple variable regions to generate high-quality results to a species level.

Amy S. Graham, Fadheela Patel, Francesca Little, Andre van der Kouwe, Mamadou Kaba, Martha J. Holmes

This paper evaluates using short-read 16S rRNA sequencing of multiple variable regions to achieve species-level resolution and assesses sample collection impacts on results.

bioRxiv · May 13, 2024Microbiology