Version 1
(of 1)
|
Version created on:
15/03/10 @ 08:43:32
by:
Peter Li
|
Revision comments
Title: Calculating frequencies of gene expression levels using microarray data in MaxD
Type: Taverna 2
Preview
(Click on the image to get the full size)
Description
This workflow retrieves data from the MaxD microarray database and calculates the frequencies of gene expression levels using an R script
Download
You do not have permission to download this workflow
Run
You do not have permission to run this workflow
Workflow Components
You do not have permission to see the internals of this workflow
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
None
Earliest Version:
[1] - Calculating frequencies of gene expression levels using microarray data in MaxD
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/1125
Alternative Formats
Copyright © 2007 - 2011 The University of Manchester and University of Southampton
No comments yet
Log in to make a comment