Bioinformatics meets parasitology

Cantacessi, C., Campbell, B.E., Jex, A.R., Young, N.D., Hall, R.S., Ranganathan, S., and Gasser, R.B. (2012) Bioinformatics meets parasitology. Parasite Immunology, 34 (5). pp. 265-275.

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Abstract

The advent and integration of high-throughput '-omics' technologies (e.g. genomics, transcriptomics, proteomics, metabolomics, glycomics and lipidomics) are revolutionizing the way biology is done, allowing the systems biology of organisms to be explored. These technologies are now providing unique opportunities for global, molecular investigations of parasites. For example, studies of a transcriptome (all transcripts in an organism, tissue or cell) have become instrumental in providing insights into aspects of gene expression, regulation and function in a parasite, which is a major step to understanding its biology. The purpose of this article was to review recent applications of next-generation sequencing technologies and bioinformatic tools to large-scale investigations of the transcriptomes of parasitic nematodes of socio-economic significance (particularly key species of the order Strongylida) and to indicate the prospects and implications of these explorations for developing novel methods of parasite intervention.

Item ID: 26428
Item Type: Article (Research - C1)
ISSN: 1365-3024
Keywords: bioinformatics, excretory/secretory proteins, genomics, next-generation sequencing, transcriptomics
Date Deposited: 15 Apr 2013 03:50
FoR Codes: 11 MEDICAL AND HEALTH SCIENCES > 1103 Clinical Sciences > 110309 Infectious Diseases @ 30%
06 BIOLOGICAL SCIENCES > 0604 Genetics > 060408 Genomics @ 60%
08 INFORMATION AND COMPUTING SCIENCES > 0803 Computer Software > 080301 Bioinformatics Software @ 10%
SEO Codes: 92 HEALTH > 9201 Clinical Health (Organs, Diseases and Abnormal Conditions) > 920109 Infectious Diseases @ 60%
97 EXPANDING KNOWLEDGE > 970106 Expanding Knowledge in the Biological Sciences @ 30%
97 EXPANDING KNOWLEDGE > 970107 Expanding Knowledge in the Agricultural and Veterinary Sciences @ 10%
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