Citation: P. Fisher, C. Hedeler, K. Wolstencroft, H. Hulme, H. Noyes, S. Kemp, R. Stevens, and A. Brass, "A systematic strategy for large-scale analysis of genotype phenotype correlations: identification of candidate genes involved in African trypanosomiasis.," Nucleic Acids Research, vol. 35, iss. 16, pp. 5625-5633, 2007.
Pages and publications about trypanosomiasis -- Results 1 to 4 of 4
Citation: P. Fisher, C. Hedeler, K. Wolstencroft, H. Hulme, H. Noyes, S. Kemp, R. Stevens, and A. Brass, "A systematic strategy for the discovery of candidate genes responsible for phenotypic variation," BMC Bioinformatics, vol. 8, iss. Suppl 8, p. 7, 2007.
Paul is an experienced user of Taverna and myExperiment, having used Taverna for his work on, for example, trypanosomiasis.
One of the major goals of biology, and consequently bioinformatics, is to successfully bridge the gap between genotype and phenotype. Microarray and Quantitative Trait Loci data are increasingly used to aid in the discovery of candidate genes that might be responsible for
phenotypic differences. In previous years, studies into genotype-phenotype correlations have been conducted manually. This [...]

