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Omics in the study of the major parasitic diseases malaria and schistosomiasis

Journal

INFECTION GENETICS AND EVOLUTION
Volume 19, Issue -, Pages 258-273

Publisher

ELSEVIER
DOI: 10.1016/j.meegid.2013.07.008

Keywords

Bioinformatics; Data mining; Malaria; Schistosomiasis; Therapeutic drugs; Vaccine candidates

Funding

  1. CNPq/Fiocruz - Proep/RIPAG: Network for identification, production, and validation of new antigens against parasitic diseases
  2. Fiocruz
  3. CAPES
  4. CNPq

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Genomic, transcriptomic, proteomic, and metabolomic projects exemplify the omics era, and have significantly expanded available data for biomedical research. Recently, next generation sequencing technologies have even more greatly expanded DNA and RNA information. The present challenge is mining this information to obtain meaningful data such as that identifying novel drug targets and vaccine candidates. Several bioinformatics tools and new technologies have been used to high-throughput identification of potential candidates. We illustrate the utilization of new strategies in the study of two major parasitic diseases: schistosomiasis and malaria. (C) 2013 Elsevier B. V. All rights reserved.

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