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Data Mining of Malaria Parasite Gene Expression for Possible Translational Research

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Methods of Microarray Data Analysis V

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Abstract

Malaria is a caused by protozoan parasites of the genus Plasmodium where the host is a vertebrate and the vector is a mosquito. Over 1 million deaths are attributed to malaria each year. Drug-resistant parasites, insecticide-resistant mosquitoes, and the lack of an effective vaccine to protect the host are major impediments to the prevention and control of malaria. Genome-wide microarray experiments on malaria parasites have provided new insights into the transcription of genes and gene networks during parasite development stages. This overview article presents basic information on malaria parasites, their hosts and vectors; life cycle of human malaria parasites; and gene content of malaria parasites. Mathematical and statistical methods presented at conferences on Critical Assessment of Microarray Data Analysis (CAMDA) could be integrated into malaria parasite databases as tools for widespread use thereby accelerating the characterization of biological processes that are basis for better drugs, effective vaccines and easy-to-use diagnostics.

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Authors and Affiliations

  1. Department of Biology, Jackson State University, Jackson, MS, 39217, USA

    Raphael D. Isokpehi

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  1. Raphael D. Isokpehi
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Editors and Affiliations

  1. Duke University, USA

    Patrick McConnell

  2. Northwestern University, USA

    Simon M. Lin

  3. Icoria, Inc., USA

    Patrick Hurban

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Isokpehi, R.D. (2007). Data Mining of Malaria Parasite Gene Expression for Possible Translational Research. In: McConnell, P., Lin, S.M., Hurban, P. (eds) Methods of Microarray Data Analysis V. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-34569-7_1

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