Author

Hussein Molu Abkallo

Nagasaki UniversityORCID 0000-0002-5594-4418Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genomics· 2 Microbiology· 1

Signature Assays, Organisms & Methods

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Research Focus:gene regulatory network inference· 3 Approach:experimental assay· 2 Organism:human· 2 Organism:mouse· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1

Frequent Co-Authors

Abhinay RamaprasadiD· 2 shared Arnab PainiD· 2 shared Osamu KanekoiD· 2 shared Richard Leighton CulletoniD· 2 shared Abhinav KaushikiD· 1 shared Aidan J. O’DonnelliD· 1 shared Alyaa M. Abdel‐HaleemiD· 1 shared Amit Kumar SubudhiiD· 1 shared

Activity by Year

2017-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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2 shared papersGenomics

Abhinay RamaprasadORCID

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3 papers

Recent·Most cited

MicrobiologybioRxivPreprintJun 8, 2026

CRISPR/Cas9 genome editing to generate single variant Plasmodium falciparum lines and enable reverse genetic studies of PfEMP1 function in live parasites

Stanley E Otoboh, Hussein Molu Abkallo, Jessie Jungels…·J Alexandra Rowe

DOI 10.64898/2026.06.07.729090

plant (other)experimental assay

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GenomicsbioRxivPreprintOct 2, 2019

Disruption of the coordination between host circadian rhythms and malaria parasite development alters the duration of the intraerythrocytic cycle

Amit Kumar Subudhi, Aidan J. O’Donnell, Abhinay Ramaprasad…·Arnab Pain

The paper shows that malaria parasites' intraerythrocytic cycle duration is influenced by coordination with host circadian rhythms, with gene expression and pathways affected when this coordination is disrupted.

2 citations

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GenomicsPLoS PathogensPeer-reviewedJul 12, 2017

Quantitative Seq-LGS: Genome-Wide Identification of Genetic Drivers of Multiple Phenotypes in Malaria Parasites

Hussein Molu Abkallo, Axel Martinelli, Megumi Inoue…·Richard Leighton Culleton

This paper introduces a method to identify genetic drivers of multiple phenotypes in malaria parasites by combining LGS, sequencing, and mathematical modeling, demonstrating its effectiveness in detecting novel alleles for growth rate and strain-specific immunity.

23 citations

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