Author

A. S. Olabode

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

Biology Disciplines

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Evolutionary Biology· 2 Microbiology· 2

Signature Assays, Organisms & Methods

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Organism:human· 3 Approach:machine learning (classical)· 2 Approach:statistical model· 2 Assay:whole-genome sequencing· 2 Assay:bulk RNA-seq· 1 Research Focus:chromatin & epigenetic regulation· 1 Research Focus:clustering· 1 Approach:deep learning· 1

Frequent Co-Authors

A. F. Poon· 4 shared D. W. Dick· 2 shared M. Avino· 2 shared A. A. Meadows· 1 shared C. M. Kityo· 1 shared D. J. Lizotte· 1 shared E. J. Arts· 1 shared E. Nabulime· 1 shared

Activity by Year

2018-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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4 shared papersEvolutionary Biology

A. F. Poon

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Author profile →

4 papers

Recent·Most cited

Revisiting the recombinant history of HIV-1 group M with dynamic network community detection

A. S. Olabode, G. T. Ng, K. E. Wade, M. Salnikov, D. W. Dick, A. F. Poon

This paper develops a new clustering method to detect recombinant HIV-1 genomes and finds that most HIV-1 genomes are recombinant.

bioRxiv · Apr 1, 2021Evolutionary Biology

Tuning Intrinsic Disorder Predictors for Virus Proteins

G. Almog, A. S. Olabode, A. F. Poon

The paper evaluates 21 intrinsic disorder predictors on virus proteins and finds a random forest ensemble improves prediction accuracy by 36% in Matthews correlation coefficient.

bioRxiv · Oct 27, 2020Microbiology

Detection of novel HIV-1 drug resistance mutations by support vector analysis of deep sequence data and experimental validation

M. Avino, E. Ndashimye, D. J. Lizotte, A. S. Olabode, R. M. Gibson, A. A. Meadows, C. M. Kityo, E. Nabulime, F. Kyeyune, I. Nankya, M. E. Quinones-Mateu, E. J. Arts, A. F. Poon

This study identifies novel HIV-1 drug resistance mutations in non-subtype B infections using deep sequencing, SVM analysis, and experimental validation.

bioRxiv · Oct 14, 2019 · PreprintMicrobiology

Evidence for a Recombinant Origin of HIV-1 group M from Genomic Variation

A. S. Olabode, M. Avino, T. Ng, F. Abu-Sardanah, D. W. Dick, A. F. Poon

This study uses a sliding window approach on HIV-1/M genome sequences to detect recombination breakpoints and estimate the origin of the pandemic, finding evidence of early recombination events.

bioRxiv · Jul 6, 2018Evolutionary Biology