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Parasitic helminth genomics

Published online by Cambridge University Press:  01 October 1999

M. BLAXTER
Affiliation:
Institute of Cell, Animal and Population Biology, University of Edinburgh, King's Buildings, Edinburgh EH9 3JT, UK
M. ASLETT
Affiliation:
Institute of Cell, Animal and Population Biology, University of Edinburgh, King's Buildings, Edinburgh EH9 3JT, UKThe European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SA, UK
D. GUILIANO
Affiliation:
Institute of Cell, Animal and Population Biology, University of Edinburgh, King's Buildings, Edinburgh EH9 3JT, UK
J. DAUB
Affiliation:
Institute of Cell, Animal and Population Biology, University of Edinburgh, King's Buildings, Edinburgh EH9 3JT, UK
THE FILARIAL GENOME PROJECT
Affiliation:
The Filarial Genome Project includes the laboratories of Steven A. Williams, Clark Science Center, Smith College, Northampton, MA 01063 USA; Kunthala Jayaraman, Center for Biotechnology, Anna University, Madras 600025 India; Reda Ramzy, Research & Training Center on Vectors of Diseases, Ain Shams University, Abbassia, Cairo 11566 Egypt; Alan Scott, Dept. Molecular Microbiology and Immunology, Johns Hopkins School of Hygiene, 615 North Wolfe St., Baltimore MD 21205 USA; Tania Supali, Department of Parasitology, Faculty of Medicine, University of Indonesia, Salewba 6, Jakarta, 10430 Indonesia; and Barton Slatko, New England Biolabs, 32 Tozer Road, Beverly, MA 01915 USA
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Abstract

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The initiation of genome projects on helminths of medical importance promises to yield new drug targets and vaccine candidates in unprecedented numbers. In order to exploit this emerging data it is essential that the user community is aware of the scope and quality of data available, and that the genome projects provide analyses of the raw data to highlight potential genes of interest. Core bioinformatics support for the parasite genome projects has promoted these approaches. In the Brugia genome project, a combination of expressed sequence tag sequencing from multiple cDNA libraries representing the complete filarial nematode lifecycle, and comparative analysis of the sequence dataset, particularly using the complete genome sequence of the model nematode C. elegans, has proved very effective in gene discovery.

Information

Type
Research Article
Copyright
© 1999 Cambridge University Press