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Frontiers in Genetics|July 11, 2022
Dissecting Generalizability and Actionability of Disease-Associated Genes From 20 Worldwide Ethnolinguistic Cultural GroupsEmile R Chimusa, Shatha Alosaimi, Christian D BopeFrontiers in Genetics|July 3, 2025
Data simulation to optimize frameworks for genome-wide association studies in diverse populationsJacquiline W Mugo, Nicola Mulder, Emile R ChimusaBriefings in Bioinformatics|July 31, 2016
Gene Ontology semantic similarity tools: survey on features and challenges for biological knowledge discoveryGaston K Mazandu, Emile R Chimusa, Nicola J MulderPlos Computational Biology|November 20, 2015
"Broadband" Bioinformatics Skills Transfer with the Knowledge Transfer Programme (KTP): Educational Model for Upliftment and Sustainable DevelopmentEmile R Chimusa, Mamana Mbiyavanga, Velaphi Masilela, et al.BMC Medical Genomics|August 15, 2019
Genome-wide association studies of severe P. falciparum malaria susceptibility: progress, pitfalls and prospectsDelesa Damena, Awany Denis, Lemu Golassa, et al.Human Molecular Genetics|October 26, 2018
Detecting genetic modifiers of spondyloepimetaphyseal dysplasia with joint laxity in the Caucasian Afrikaner communityEmile R Chimusa, Peter Beighton, Judit Kumuthini, et al.BMC Plant Biology|November 25, 2017
A post-gene silencing bioinformatics protocol for plant-defence gene validation and underlying process identification: case study of the Arabidopsis thaliana NPR1Rosita E Yocgo, Ephifania Geza, Emile R Chimusa, et al.Frontiers in Oncology|July 16, 2026
Harnessing AI-driven approaches for detecting metabolic dysfunction-associated steatotic liver disease, assessing fibrosis, and stratifying hepatocellular carcinoma risk: a scoping reviewAnvitha Nagaraj Sharma, Hima Bhagavatula, Michael T Mapundu, et al.Bioinformatics (Oxford, England)|October 19, 2015
A-DaGO-Fun: an adaptable Gene Ontology semantic similarity-based functional analysis toolGaston K Mazandu, Emile R Chimusa, Mamana Mbiyavanga, et al.Bioinformatics (Oxford, England)|October 29, 2015
ancGWAS: a post genome-wide association study method for interaction, pathway and ancestry analysis in homogeneous and admixed populationsEmile R Chimusa, Mamana Mbiyavanga, Gaston K Mazandu, et al.Pageof 8