Identification of differential genes using t-tests by R

Created: 2008-04-15 15:37:42      Last updated: 2008-07-01 17:21:18

This workflow starts by retrieving the names of microarray datasets from the Maxd database. The user has to select sets of control and test data for analysis using t-tests by R. A list of significant differentially expressed genes is then analysed using the Go Term Finder tool which generates a list of GO terms associated with the genes. A CSV file containing the list of significant genes is also generated.

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1. Li, P., Castrillo, J. I., Velarde, G., Wassink, I., Soiland-Reyes, S., Owen, S., Withers, D., Oinn, T., Pocock, M. R., Goble, C. A., Oliver, S. G. & Kell, D. B., Performing statistical analyses on quantitative data in Taverna workflows: an example using R and maxdBrowse to identify differentially expressed genes from microarray data, BMC Bioinformatics 2008, 9:334, 07 August 2008, http://www.biomedcentral.com/1471-2105/9/334


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