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Showing 22 results. Use the filters on the left and the search box below to refine the results.
Tag: microarray Licence: by-sa
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Workflow Mapping OligoNucleotides to an assembly (7)

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Version info The former version of the workflow expected that results from BioMART only report transcripts when the query (the probe in our case) are entirely encapsulated in an exon of that transcript. However, the BioMart service also returns transcripts when the query is not or only partially overlapping with an exon in the stretch on the assembly on which a transcript is defined. This resulted in too many oligos classified as having multiple transcripts or having multiple genes. ...

Created: 2009-02-13 | Last updated: 2009-02-13

Credits: User Wassinki User Pieter Neerincx

Attributions: Workflow Blat against ENSEMBLE Danio_rerio_Genome Workflow BlatBlastCombi Workflow Blast against ENSEMBLE Danio_rerio_Genome Workflow AppendToFile Blob Test Input for Mapping oligonucleotides to an assembly Blob Input for Mapping oligonucleotides to an assembly

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Workflow Mapping microarray data onto metabolic pat... (1)

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This workflow maps microarray data onto metabolic pathway diagrams represented as SBML models drawn using Cell Designer. To run this workflow requires libsbml to be installed into taverna - see http://www.mcisb.org/software/taverna/libsbml/index.html

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

Credits: User Peter Li

Workflow Mouse Microarray Analysis (3)

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This workflow takes in probesets from and AffyMetrix micorarray experiment and returns: the genes ; gene start and end positions; chromosome where genes reside; ensembl trasncripts; SwissProt ids; affy probeset identifiers for chips Mouse430_2 and Mouse430a_2. Example ids from the Mouse430_2 affymetrix array are as follows (newline separated): 1447227_at 1440624_at 1436240_at 1454904_at 1435665_at 1418148_at 1429831_at

Created: 2007-10-03 | Last updated: 2009-12-03

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Workflow Lymphoma type prediction based on microar... (7)

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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.

Created: 2010-05-11 | Last updated: 2010-05-11

Credits: User Wei Tan User Ravi User Stian Soiland-Reyes

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Workflow Identification of differential genes using... (1)

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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...

Created: 2008-07-02 | Last updated: 2008-07-02

Credits: User Peter Li

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Workflow Identification of differential genes using... (2)

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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.

Created: 2008-04-15 | Last updated: 2008-07-01

Credits: User Peter Li

Workflow Microarray CEL file to candidate pathways (2)

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This workflow takes in a CEL file and a normalisation method then returns a series of images/graphs which represent the same output obtained using the MADAT software package (MicroArray Data Analysis Tool) http://www.bioinf.manchester.ac.uk/MADAT/index.html. Also retruned by this workflow are a list of the top differentialy expressed genes (size dependant on the number specified as input - geneNumber), which are then used to find the candidate pathways which may be influencing the observed ch...

Created: 2008-02-08 | Last updated: 2009-02-13

Credits: User Paul Fisher User Saeedeh

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

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