The full text of this article


Transcriptomic and network analyses combine to identify genes that drive the red blood cell cycle of Plasmodium falciparum
by Xinran Yu; Hao Zhang; Timothy G. Lilburn; Hong Cai; Jianying Gu; Turgay Korkmaz; Yufeng Wang
International Journal of Data Mining and Bioinformatics (IJDMB), Vol. 18, No. 3, 2017


Abstract: Despite coordinated attempts to control or eliminate it, malaria remains a widespread public health problem, with half the world's population (3.2 billion people) at risk. While the annual death toll attributed to malaria has declined in recent years, the mortality is still very high. In 2015 the World Health Organisation estimates that between 236,000 and 635,000 people died, and the disease cost the continent of Africa, where 91% of cases occur, about USD 12 billion. The contribution of genomics to the defeat of malaria has been relatively small until recently. Although genomic data is available, much of it is difficult to interpret, as this parasite has no well-studied close relatives. This has led to a need for computationally-driven tools that will help us understand the dynamic cellular networks in the malaria parasite. This understanding, in turn, will help us identify new antimalarial targets in the parasite. Here, we coupled RNA-Seq analysis and network mining using a PageRank-based algorithm, and examined the temporal-specific expression of parasite genes during the 48-hour red blood cycle. We identified genes that appear to influence parasite development and red blood cell invasion. The just-in-time mechanism for gene expression may contribute to a dynamic and effective adaptive strategy of the malaria parasite.


is only available to individual subscribers or to users at subscribing institutions.


Existing subscribers:

Go to Inderscience Online Journals to access the full text.


Pay per view:

If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Data Mining and Bioinformatics (IJDMB):
Login with your Inderscience username and password:


    Username:        Password:         

Forgotten your password?


Want to subscribe?

A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.


If you still need assistance, please email