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Malaria remains one of the most important public health concerns worldwide. It causes nearly half a million deaths every year, and about 40% of the world's population lives in the endemic regions of malaria. A major hurdle in antimalarial development is our limited understanding of the dynamic cellular networks in the malaria parasite. In this study, by coupling RNA-Seq analysis and network mining...
Annotating and understanding the function of proteins and other elements in a genome can be difficult in the absence of a well-studied and evolutionarily close relative. The causative agent of malaria, one of the oldest and most deadly global infectious diseases, is a good example of this problem. The burden of malaria is huge and there is a pressing need for new, more effective antimalarial strategies...
Malaria is one of the most deadly infectious diseases in the world. The malaria burden is characterized by 207 million cases and over 627,000 deaths annually. The consistent morbidity and mortality underscore an urgent need for the development of next-generation antimalarials. In this paper, we propose a network mining approach to uncover the protein-protein associations that are implicated in important...
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