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Pack Microarray data analysis using R

Created: 02/07/08 @ 11:30:06

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Workflows (4)
Taverna 1

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Workflow AffyArrayQualityAnalysis (v2)

Created: 13/03/08 @ 14:38:03 | Last updated: 13/03/08 @ 14:40:37

Credits: User Pieter Neerincx User Philipg

License: Creative Commons Attribution-Share Alike 3.0 License

Affyarrayqualityanalysis_27323_2
The AffyArrayQualityAnalysis web services provide quality control for raw Affymetrix GeneChip data. They are wrappers around Philip de Groot's quality control R script to provide remote programmatic access. This example workflow demonstrates the use of the AffyArrayQualityAnalysis services. The flow is as follows: * A client executes the AffyArrayQualityAnalysis_submit service with two inputs: a User object and a collection of URLs to CEL files. * The User object contains a user ID, a passw...

Rating: 0.0 / 5 (0 ratings) | Versions: 2 | Reviews: 0 | Comments: 0 | Citations: 0

Viewed: 506 times | Downloaded: 393 times

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Taverna 1

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Workflow AffyArrayNormalization (v1)

Created: 13/03/08 @ 14:47:40

Credits: User Pieter Neerincx User Philipg

License: Creative Commons Attribution-Share Alike 3.0 License

Affyarraynormalization_76_1
The AffyArrayNormalization web services normalise raw Affymetrix GeneChip data. They are wrappers around Philip de Groot's normalization R script to provide remote programmatic access. This example workflow demonstrates the use of the AffyArrayNormalization services. The flow is as follows: * A client executes the AffyArrayNormalization_submit service with two inputs: a User object and a collection of URLs to CEL files. * The User object contains a user ID, a password and an e-mail address....

Rating: 0.0 / 5 (0 ratings) | Versions: 1 | Reviews: 0 | Comments: 0 | Citations: 0

Viewed: 452 times | Downloaded: 356 times

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Taverna 1

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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 License

Identification_of_differential_genes_using_t-tests_by_r_3052_2
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: 0.0 / 5 (0 ratings) | Versions: 2 | Reviews: 0 | Comments: 0 | Citations: 1

Viewed: 593 times | Downloaded: 376 times

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Taverna 1

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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 @ 11:28:22

Credits: User Peter Li

License: Creative Commons Attribution-Share Alike 3.0 License

Identification_of_differential_genes_using_t-tests_by_r_1181_1
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

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