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Article
Open AccessChromosome-scale Echinococcus granulosus (genotype G1) genome reveals the Eg95 gene family and conservation of the EG95-vaccine molecule
Cystic echinococcosis is a socioeconomically important parasitic disease caused by the larval stage of the canid tapeworm Echinococcus granulosus, afflicting millions of humans and animals worldwide. The developm...
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Article
Open AccessExpanded complement of Niemann-Pick type C2-like protein genes in Clonorchis sinensis suggests functions beyond sterol binding and transport
The parasitic flatworm Clonorchis sinensis inhabits the biliary tree of humans and other piscivorous mammals. This parasite can survive and thrive in the bile duct, despite exposure to bile constituents and host ...
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Article
Open AccessComparative bioinformatic analysis suggests that specific dauer-like signalling pathway components regulate Toxocara canis development and migration in the mammalian host
Toxocara canis is quite closely related to Ascaris suum but its biology is more complex, involving a phase of arrested development (diapause or hypobiosis) in tissues as well as transplacental and transmammary tr...
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Article
Open AccessScreening of the ‘Stasis Box’ identifies two kinase inhibitors under pharmaceutical development with activity against Haemonchus contortus
In partnership with the Medicines for Malaria Venture (MMV), we screened a collection (‘Stasis Box’) of 400 compounds (which have been in clinical development but have not been approved for illnesses other tha...
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Article
Open AccessPhylogenomic and biogeographic reconstruction of the Trichinella complex
Trichinellosis is a globally important food-borne parasitic disease of humans caused by roundworms of the Trichinella complex. Extensive biological diversity is reflected in substantial ecological and genetic var...
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Article
Particle Swarm Optimisation for Protein Motif Discovery
In this paper, a modified particle swarm optimisation algorithm is proposed for protein sequence motif discovery. Protein sequences are represented as a chain of symbols and a protein sequence motif is a short...
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Chapter
Mining of Labeled Incomplete Data Using Fast Dimension Partitioning
Two Dimensional Partitioning Techniques are proposed in this paper for fast mining of labeled data with missing values. The first Dimensional Partitioning Technique (DPT1) generates a classifier model by the u...
