Video on e-Infrastructure / e-Science case study: using automated analysis workflows to study sleeping sickness in cattle
| Contributed by: | Gudmundur A Thorisson |
| Originally posted: | 9th June 2009: 11:59 am |
| Last updated: | 11th June 2009: 11:03 am |
| Short URL: | http://gen2phen.org/node/2062 |
A nice, short video demonstrating how construction & automated execution (and sharing) of workflows are a powerful strategy to integrate and analyze large amounts of data from many sources. The case study is from research into sleeping sickness (Trypanosomiasis) in cattle in Africa, specifically correlating genotype with resistance to the Trypanosoma parasite.
The study by Fisher et al[fn]Fisher et al. A systematic strategy for large-scale analysis of genotype phenotype correlations: identification of candidate genes involved in African trypanosomiasis. Nucleic Acids Res (2007) http://dx.doi.org/10.1093/nar/gkm623[/fn] is one of first major success stories from applying this approach to a real biological problem.
The specific tools showcased are the Taverna workbench for building & executing these workflows, and the myExperiment.org community website for sharing workflows with other researchers.
See also FriendFeed discussion here: http://friendfeed.com/the-life-scientists/10f8f26f/e-infrastructure-science-case-study-video
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