Log in
Register
Give us Feedback
InviteWorkflow Entry: Mapping microarray data onto metabolic pathways
| Citations (1) | Version History | Reviews (0) | Comments (0) |
 Version 1
(of 1)
|
Version created on:
14/11/07 @ 16:51:26
by:
Peter Li
|
Revision comments 
Last edited on: 22/11/07 @ 10:39:32 by: Peter Li
Title: Mapping microarray data onto metabolic pathways
Type: Taverna 1
Preview
(Click on the image to get the full size)
Download Scalable Diagram (SVG)
Description
This workflow maps microarray data onto metabolic pathway diagrams represented as SBML models drawn using Cell Designer. To run this workflow requires libsbml to be installed into taverna - see http://www.mcisb.org/software/taverna/libsbml/index.html
Download
Run
Run this Workflow in the Taverna Workbench...
Option 1:
Launch in TavernaNote: you need to have both the WHIP Launcher and the Taverna myExperiment/WHIP plugin installed on your machine for this to work. See here for information.
Option 2:
Copy and paste this link into File > 'Open workflow location...'
http://www.myexperiment.org/workflows/79/download?version=1
[ More Info ]
Workflow Components
Workflow Type
Log in to add Tags
Shared with Groups (0)
None
Current:
0.0 / 5
(0 ratings)
Log in to rate and see breakdown of ratings
Statistics
1. Peter Li, Tom Oinn, Stian Soiland and Douglas B. Kell, Automated manipulation of systems biology models using libSBML within Taverna workflows, Bioinformatics (In press), 29 November 2007, http://www.mcisb.org/software/taverna/libsbml/index.html
Earliest Version:
[1] - Mapping microarray data onto metabolic pathways
This Workflow only has one version.
Reviews
(0)
Other workflows that use similar services
(2)
|
Original Uploader |
Created: 15/04/08 @ 15:37:42 | Last updated: 01/07/08 @ 17:21:18
Credits:
License: Creative Commons Attribution-Share Alike 3.0 Unported License
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.
Rating: 5.0 / 5 (1 rating) | Versions: 2 | Reviews: 0 | Comments: 0 | Citations: 1 Viewed: 463 times | Downloaded: 156 times Tags (6): |
 View
 Download (v2)
|
|
Original Uploader |
Created: 02/07/08 @ 11:24:12 | Last updated: 02/07/08 @ 11:28:21
Credits:
License: Creative Commons Attribution-Share Alike 3.0 Unported License
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 sign...
Rating: 0.0 / 5 (0 ratings) | Versions: 1 | Reviews: 0 | Comments: 0 | Citations: 0 Viewed: 584 times | Downloaded: 224 times Tags (6): |
View
Download (v1)
|
Linked Data
Non-Information Resource URI: http://www.myexperiment.org/workflows/79
Alternative Formats
Copyright © 2007 - 2011 The University of Manchester and University of Southampton
No comments yet
Log in to make a comment