Workflow Entry: Calculating frequencies of gene expression levels using microarray data in MaxD

Created at: 15/03/10 @ 08:43:31
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Version created on: 15/03/10 @ 08:43:32 by: Peter Li   |   Revision comments Expand

Title: Calculating frequencies of gene expression levels using microarray data in MaxD

Type: Taverna 2


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This workflow retrieves data from the MaxD microarray database and calculates the frequencies of gene expression levels using an R script


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Earliest Version:
[1] - Calculating frequencies of gene expression levels using microarray data in MaxD

Created on: Monday 15 March 2010 @ 08:43:32 (GMT)

Created by: Peter Li

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Workflow Other workflows that use similar services (2)

Original Uploader

Workflow Identification of differential genes using t-tests by R (v2)

Created: 15/04/08 @ 15:37:42 | Last updated: 01/07/08 @ 17:21:18

Credits: User Peter Li

License: Creative Commons Attribution-Share Alike 3.0 Unported License

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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):

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Original Uploader

Workflow Identification of differential genes using the LIMMA Bioconductor package within R (v1)

Created: 02/07/08 @ 11:24:12 | Last updated: 02/07/08 @ 11:28:21

Credits: User Peter Li

License: Creative Commons Attribution-Share Alike 3.0 Unported License

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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):

Show View Download Download (v1)

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Non-Information Resource URI: http://www.myexperiment.org/workflows/1125


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