Wanangwa Ndovie

ORCID: 0009-0007-4637-7363
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Research Areas
  • Plant Virus Research Studies
  • Bacteriophages and microbial interactions
  • Mosquito-borne diseases and control
  • Chromosomal and Genetic Variations
  • Invertebrate Immune Response Mechanisms
  • Genomics and Phylogenetic Studies
  • Malaria Research and Control

Jagiellonian University
2025

Malawi-Liverpool-Wellcome Trust Clinical Research Programme
2021

University of Liverpool
2021

ABSTRACT Average nucleotide identity (ANI) is a widely used metric to estimate genetic relatedness, especially in microbial species delineation. While ANI calculation has been well optimized for bacteria and closely related viral genomes, accurate estimation of below 80%, particularly large reference data sets, challenging due lack scalable methods. To bridge this gap, we introduce MANIAC, an efficient computational pipeline estimating alignment fraction (AF) genomes with divergence around...

10.1128/msystems.01661-24 article EN cc-by mSystems 2025-01-29

Abstract Following Plasmodium falciparum infection, individuals can remain asymptomatic, present with mild fever in uncomplicated malaria cases, or show one more severe symptoms. Several studies have investigated associations between parasite transcription and clinical severity, but no broad conclusions yet been drawn. Here, we apply a series of bioinformatic approaches based on P. ’s tightly regulated transcriptional pattern during its ~48-hour intraerythrocytic developmental cycle (IDC) to...

10.1038/s41467-021-25062-z article EN cc-by Nature Communications 2021-07-30

Abstract The estimation of Average Nucleotide Identity (ANI) plays a pivotal role in microbial and viral research, facilitating species delineation, taxonomy, genome dereplication metagenomics even detection horizontal gene transfer. Traditional tools, optimised for bacterial genomes, fall short addressing the complexities phage genomics such as high sequence variability, mosaicism or absence universally shared genes. To bridge this gap, we introduce MANIAC (MMseqs2-based ANI Accurate...

10.1101/2024.04.23.590796 preprint EN cc-by-nc 2024-04-28
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