Hostname: page-component-848d4c4894-75dct Total loading time: 0 Render date: 2024-04-30T15:40:35.843Z Has data issue: false hasContentIssue false
  • English
  • Français

Parasitic helminth genomics

Published online by Cambridge University Press:  01 October 1999

M. BLAXTER ,
M. ASLETT ,
D. GUILIANO ,
J. DAUB  and
THE FILARIAL GENOME PROJECT
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, UK The 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
Get access Rights & Permissions [Opens in a new window]

Abstract

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.

Keywords

genomicsparasitic genomesCaenorhabditis elegansBrugia malayiSchistosomaexpressed sequence taggenome mappingbioinformatics
Type
Research Article
Information
Parasitology , Volume 118 , Issue 7 , October 1999 , pp. 39 - 51
Copyright
© 1999 Cambridge University Press

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)