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Created: 05/12/08 @ 17:45:17 | Last updated: 05/12/08 @ 18:20:25
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License: Creative Commons Attribution-Share Alike 3.0 Unported License
This workflow shows the coordinated use of two services in CaGrid, i.e., the caDSR (Cancer Data Standards Repository) and EVS (Enterprise Vocabulary Services) services. caDSR is to define a comprehensive set of standardized metadata descriptors for cancer research terminology used in information collection and analysis. EVS provides resources and services to meet NCI needs for controlled terminology, and to facilitate the standardization of terminology and information systems across the Insti...
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Created: 05/12/08 @ 18:31:53 | Last updated: 05/12/08 @ 20:33:37
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License: Creative Commons Attribution-Share Alike 3.0 Unported License
To illustrate our caGrid plug-in’s application, we tested it with a microarray hierarchical clustering workflow that involves services hosted at multiple institutions.
Microarrays are a high-throughput technology used to measure the expression of tens of thousands of genes in different tissues or cells. Scientists represent the data from each microarray via a vector (profile) in which each element represents a gene’s expression level. They use clustering analysis to identify sim...
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Created: 05/12/08 @ 22:03:03 | Last updated: 14/07/09 @ 19:32:17
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License: Creative Commons Attribution-Share Alike 3.0 Unported License
To query protein sequence infomation out of 3 caGrid data services: caBIO, CPAS and GridPIR.
Scientific value
To query protein sequence information out of 3 caGrid data services: caBIO, CPAS and GridPIR.
To analyze a protein sequence from different data sources.
Steps
Querying CPAS and get the id, name, value of the sequence.
Querying caBIO and GridPIR using the id or name obtained from CPAS.
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Created: 11/05/10 @ 19:04:30 | Last updated: 11/05/10 @ 19:04:32
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License: Creative Commons Attribution-Share Alike 3.0 Unported License
Scientific value Using gene-expression patterns associated with DLBCL and FL to predict the lymphoma type of an unknown sample. Using SVM (Support Vector Machine) to classify data, and predicting the tumor types of unknown examples. Steps Querying training data from experiments stored in caArray. Preprocessing, or normalize the microarray data. Adding training and testing data into SVM service to get classification result.
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Created: 07/05/09 @ 14:28:59
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License: Creative Commons Attribution-Share Alike 3.0 Unported License
To query protein sequence infomation out of 3 caGrid data services: caBIO, CPAS and GridPIR
Adapted from http://www.myexperiment.org/workflows/600
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Created: 25/05/10 @ 19:16:58 | Last updated: 11/06/10 @ 04:50:15
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License: Creative Commons Attribution-Share Alike 3.0 Unported License
This workflow is used as an example in this wiki article:
https://wiki.cagrid.org/display/knowledgebase/How+to+Create+CaGrid+Workflow+Using+Taverna+2
Tested with Taverna 2.1.2 as of 6/10/2010
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Created: 24/05/10 @ 22:42:38 | Last updated: 24/05/10 @ 22:42:39
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License: Creative Commons Attribution-Share Alike 3.0 Unported License
preprocess data set using genePattern preProces service, the input should be in genePattern STATML format. Configuration parameters can be adjusted by changing the default preprocess data set using genePattern preProces service, the input should be in genePattern STATML format.preprocess data set using genePattern preProces service, the input should be in genePattern STATML format. Configuration parameters can be adjusted by changing the string constants.
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Created: 10/09/10 @ 23:45:05 | Last updated: 10/09/10 @ 23:51:03
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License: Creative Commons Attribution-Share Alike 3.0 Unported License
Principle Component Analysis (PCA) over microarray data. Data is uploaded through caGrid transfer ultility.
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Created: 23/04/09 @ 17:25:04 | Last updated: 03/09/11 @ 21:57:43
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License: Creative Commons Attribution-Share Alike 3.0 Unported License
Input CQL of the lymphoma prediction workflow at http://www.myexperiment.org/workflows/746?version=1. It is only for the purpose of illustration and NOT needed to run the workflow since the input has already been embedded.
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Created: 23/04/09 @ 17:37:16 | Last updated: 03/09/11 @ 21:56:29
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License: Creative Commons Attribution-Share Alike 3.0 Unported License
Output of the lymphoma prediction workflow at http://www.myexperiment.org/workflows/746?version=1. It shows the lymphoma type prediction results. It contains lymphoma type predictions for 38 samples and there is only one error (on testSample_4).
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