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HIV-DRIVES: HIV Drug Resistance Identification, Variant Evaluation, & Surveillance Pipeline

Article scientifique 2024 Anglais

Résumé

The global prevalence of resistance to antiviral drugs combined with antiretroviral therapy (cART) emphasizes the need for continuous monitoring to better understand the dynamics of drug-resistant mutations to guide treatment optimization and patient management as well as check the spread of resistant viral strains. We have recently, integrated next-generation sequencing (NGS) into routine HIV drug resistance (HIVDR) monitoring, with key challenges in the bioinformatic analysis and interpretation of the complex data generated while ensuring data security and privacy of patient information. To address these challenges, here, we present HIV-DRIVES (HIV Drug Resistance Identification, Variant Evaluation, and Surveillance), an NGS-HIVDR bioinformatics pipeline that has been developed and validated using Illumina short-reads, FASTA, and Sanger ab1.seq files.

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Kanyerezi, S., Sserwadda, I., Ssemaganda, A., Seruyange, J., Ayitewala, A., Oundo, H., Tenywa, W., Kagurusi, B., Tusabe, G., Were, S., Ssewanyana, I., Nabadda, S., Namaganda, M., Mboowa, G. (2024). HIV-DRIVES: HIV Drug Resistance Identification, Variant Evaluation, & Surveillance Pipeline. https://doi.org/10.1099/acmi.0.000815.v1

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Auteur(s)

Stephen Kanyerezi Ivan Sserwadda Aloysius Ssemaganda Julius Seruyange Alisen Ayitewala Hellen Rosette Oundo Wilson Tenywa Brian A. Kagurusi Godwin Tusabe Stacy Were Isaac Ssewanyana Susan Nabadda Maria Magdalene Namaganda Gerald Mboowa

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