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Tag: microarray

Workflow AffyArrayNormalization (2)

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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 linking to CEL files. The User object contains a user ID, a password and an ...

Created: 2009-02-16 | Last updated: 2009-02-16

Credits: User Pieter Neerincx User Philipg

Workflow 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: User Pieter Neerincx User Philipg

Workflow Human Microarray Analysis (1)

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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: User Paul Fisher

Uploader

Workflow 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: User Peter Li

Workflow 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: User Paul Fisher

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Workflow 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: User Wei Tan

Creator

Pack Towards Genotype-Phenotype Correlations


Created: 2009-04-08 13:14:54 | Last updated: 2009-08-11 14:50:01

It is increasingly common to combine Microarray and Quantitative Trait Loci data to aid the search for candidate genes responsible for phenotypic variation. Workflows provide a means of systematically processing large datasets, and represent a framework for the re-use and the explicit declaration of experimental methods. In this pack is a paper which describes the issues facing the manual analysis of microarray and QTL data for the discovery of candidate genes underlying complex phenotypes.&n...

20 items in this pack

Comments: 0 | Viewed: 299 times | Downloaded: 80 times

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Pack Package: mapping oligonucleotides to an assembly


Created: 2008-12-11 12:02:47 | Last updated: 2009-01-22 09:06:26

This package contains all elements required to run the RShell use case "Mapping oligonucleotides to an assembly"  

5 items in this pack

Comments: 0 | Viewed: 240 times | Downloaded: 85 times

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Workflow 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: User Wei Tan

Uploader

Workflow Calculating frequencies of gene expression... (1)

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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

Created: 2010-03-15

Credits: User Peter Li

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