Identification of differential genes using the LIMMA Bioconductor package within R
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 which are then analysed by the LIMMA Bioconductor package in an R script. This produces a list of significant differentially expressed genes which is then analysed using the Go Term Finder tool to generate a PDF report of the common GO terms associated with the genes. A CSV file containing the list of significant genes is also generated.
Preview
Run
Run this Workflow in the Taverna Workbench...
Option 1:
Copy and paste this link into File > 'Open workflow location...'
http://myexperiment.org/workflows/246/download?version=1
[ More Info ]
Workflow Components
Workflow Type
Version 1 (of 1)
Log in to add Tags
Shared with Groups (0)
None
- Microarray data analysis using R
- Private pack
- useful_for_sysmo
Log in to add to one of your Packs
Statistics
Reviews (0)
Other workflows that use similar services (3)
Only the first 2 workflows that use similar services are shown. View all workflows that use these services.
Identification of differential genes using... (2)
Created: 2008-04-15 | Last updated: 2008-07-01
Credits: Peter Li
Mapping microarray data onto metabolic pat... (1)
Created: 2007-11-14 | Last updated: 2007-11-22
Credits: Peter Li
Comments (0)
No comments yet
Log in to make a comment