Daniel L. Bugembe
P. O. Box 49, Plot 51-59 Nakiwogo Road
Entebbe, C, Uganda
Entebbe, C, Uganda
Last Updated: 09/26/2026
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Found 13 publications
Uncovering the viral aetiology of undiagnosed acute febrile illness in Uganda using metagenomic sequencing.
Journal: Nature communications
Published: July 27, 2024
Next-Generation Sequencing Reveals a High Frequency of HIV-1 Minority Variants and an Expanded Drug Resistance Profile among Individuals on First-Line ART.
Journal: Viruses
Published: June 18, 2024
HIVseqDB: a portable resource for NGS and sample metadata integration for HIV-1 drug resistance analysis.
Journal: Bioinformatics advances
Published: September 10, 2023
QuasiFlow: a Nextflow pipeline for analysis of NGS-based HIV-1 drug resistance data.
Journal: Bioinformatics advances
Published: August 22, 2022
Spike Protein Cleavage-Activation in the Context of the SARS-CoV-2 P681R Mutation: an Analysis from Its First Appearance in Lineage A.23.1 Identified in Uganda.
Journal: Microbiology spectrum
Published: June 29, 2022
SARS-CoV-2 Variants, South Sudan, January-March 2021.
Journal: Emerging infectious diseases
Published: October 28, 2021
A year of genomic surveillance reveals how the SARS-CoV-2 pandemic unfolded in Africa.
Journal: Science (New York, N.Y.)
Published: October 21, 2021
Spike protein cleavage-activation mediated by the SARS-CoV-2 P681R mutation: a case-study from its first appearance in variant of interest (VOI) A.23.1 identified in Uganda.
Journal: bioRxiv : the preprint server for biology
Published: July 07, 2021
Emergence and spread of a SARS-CoV-2 lineage A variant (A.23.1) with altered spike protein in Uganda.
Journal: Nature microbiology
Published: March 17, 2021
Main Routes of Entry and Genomic Diversity of SARS-CoV-2, Uganda.
Journal: Emerging infectious diseases
Published: July 03, 2020
High Levels of Acquired HIV Drug Resistance Following Virological Nonsuppression in HIV-Infected Women from a High-Risk Cohort in Uganda.
Journal: AIDS research and human retroviruses
Published: June 02, 2020
Computational MHC-I epitope predictor identifies 95% of experimentally mapped HIV-1 clade A and D epitopes in a Ugandan cohort.
Journal: BMC infectious diseases
Published: August 28, 2019
Last Updated: 09/26/2026