Article
Evaluation of two bioinformatic algorithms for the interpretation of HIV-1 drug resistance and subtyping in Cameroon: Translational application for ART optimization in low-and middle-income countries.
Diagnostic microbiology and infectious disease - 1 May 2026
Fokam Joseph, Etame Naomi-Karell, Ngoufack Jagni Semengue Ezechiel, Chenwi Collins Ambe, Inzaule Seth C, Takou Désiré, Molimbou Evariste, Nka Alex Durand, Tambe Ayuk Ngwese Derrick, Gouissi Anguechia Davy-Hyacinthe, Ka'e Aude Christelle, Beloumou Angong Grâce, Djupsa Ndjeyep Sandrine Claire, Kengni Ngueko Aurelie Minelle, Nayang Mundo Rachel Audrey, Moko Fotso Larissa Gaelle, Tueguem Pamela Patricia, Mekel Vincent Kamaël, Tommo Tchouaket Michel Carlos, Sosso Samuel Martin, Ajeh Awoh Rogers, Santoro Maria-Mercedes, Ceccherini-Silberstein Francesca, Bissek Zoung-Kanyi Anne-Cecile, Cappelli Giulia, Colizzi Vittorio, Perno Carlo-Federico, Ndembi Nicaise, Mbopi-Keou Francois-Xavier, Ndjolo Alexis
Abstract excerpt
BACKGROUND: Efficient monitoring of HIV drug resistance (HIVDR) relies on standardized bioinformatics tools for accurate identification of drug resistance mutations (DRMs). Thus, we sought to compare the concordance of HIV-1 genotypic profiling from sequences analyzed with two commonly-used editing algorithms in low- and middle-income countries (LMICs). METHODS: A laboratory-based comparative study was conducted...
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