Workflows

AffyArrayQualityAnalysis (2)

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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 linking to CEL files. The User object contains a u...

Created: 2008-03-13 | Last updated: 2009-02-16

Credits: Pieter Neerincx Philipg

Human Microarray Analysis (1)

This workflow takes in probesets from and AffyMetrix  Affy HG U133A micorarray experiment and returns: genes ; gene start and end positions; chromosome where genes reside; ensembl trasncripts; SwissProt ids. The final output of the workflow is a list of candidate pathways which are linked to the genes expressed in the microarray data.   Example input for this workflow is: 212283_at 221634_at 220399_at  

Created: 2008-02-08 | Last updated: 2009-12-03

Credits: Paul Fisher

Query Maxd microarray database (1)

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Retrieves data from the maxd database given name of data set

Created: 2007-11-14 | Last updated: 2007-11-22

Credits: Peter Li

Arabidopsis thaliana Microarray Analysis (1)

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This workflow searches for genes which are found to be differentially expressed in a microarray study using Arabidopsis thaliana. The workflow requires an input of a list of differentially expressed AffyMetrix Probeset identifiers. Data is then extracted from BioMart to annotate each of the genes. The UniProt identifiers are then sent to KEGG to obtain KEGG gene identifiers. The KEGG gene identifiers are then used to searcg for pathways in the KEGG pathway database.

Created: 2009-07-08

Credits: Paul Fisher

hierarchical microarray clustering (1)

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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...

Created: 2008-12-05 | Last updated: 2008-12-05

Credits: Wei Tan

genePattern data preprocessing (2)

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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.

Created: 2010-05-24 | Last updated: 2010-05-24

Credits: Wei Tan

Calculating frequencies of gene expression... (1)

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

Created: 2010-03-15

Credits: Peter Li

caArray data retrieving (1)

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Query all the gene expression data in a caArray experiment. Returns a evenly divided gene expression data set with corresponding class information. They ca be later used as training and test data set in many classification algorithms.Query all the gene expression data in a caArray experiment. Returns a evenly divided gene expression data set with corresponding class information. They can be later used as training and test data set in many classification algorithms.

Created: 2009-11-23

Credits: Wei Tan

Pathways and Gene annotations forQTL region (1)

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This workflow searches for genes found from a set of differentially expressed probestes, in Human, Homo sapiens. The workflow requires an input human affymetrix probeset identifiers. Data is then extracted from BioMart to annotate each of the genes found in this region. The Entrez and UniProt identifiers are then sent to KEGG to obtain KEGG gene identifiers. The KEGG gene identifiers are then used to searcg for pathways in the KEGG pathway database.

Created: 2011-03-24 | Last updated: 2011-03-24

Credits: Paul Fisher

Gene to Pubmed (4)

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This workflow takes in a list of gene names and searches the PubMed database for corresponding articles. Any matches to the genes are then retrieved (abstracts only). These abstracts are then returned to the user.

Created: 2011-02-08 | Last updated: 2011-02-10

Credits: Paul Fisher

Attributions: Cosine vector space Extract Scientific Terms Rank Phenotype Terms Cosine vector space Rank Phenotype Terms Pathway to Pubmed Extract Scientific Terms