Journal article
Getting the most out of parasitic helminth transcriptomes using HelmDB: Implications for biology and biotechnology
S Mangiola, ND Young, P Korhonen, A Mondal, JP Scheerlinck, PW Sternberg, C Cantacessi, RS Hall, AR Jex, RB Gasser
Biotechnology Advances | PERGAMON-ELSEVIER SCIENCE LTD | Published : 2013
Abstract
Compounded by a massive global food shortage, many parasitic diseases have a devastating, long-term impact on animal and human health and welfare worldwide. Parasitic helminths (worms) affect the health of billions of animals. Unlocking the systems biology of these neglected pathogens will underpin the design of new and improved interventions against them. Currently, the functional annotation of genomic and transcriptomic sequence data for socio-economically important parasitic worms relies almost exclusively on comparative bioinformatic analyses using model organism- and other databases. However, many genes and gene products of parasitic helminths (often > 50%) cannot be annotated using thi..
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Funding Acknowledgements
This research was supported largely through grants from the Australian Research Council (ARC) and the National Health and Medical Research Council (NHMRC) (RBG). Other support from the Australian Academy of Science, the Australian-American Fulbright Commission, Melbourne Water Corporation and the Victorian Life Sciences Computation Initiative (VLSCI) is gratefully acknowledged. SM is the grateful recipient of scholarships from the University of Melbourne and a special scholarship from VLSCI. NDY holds an Early Career Research Fellowship (ECRF) from (NHMRC). PWS is an investigator with the Howard Hughes Medical Institute (HHM1).