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A Taverna Users Guide

Created: 2008-08-04 17:40:21

Credits: Paul Fisher Katy Wolstencroft Franck Tanoh

License: Creative Commons Attribution-Share Alike 3.0 Unported License

File type: PowerPoint presentation

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LIFEsparks biotechnology network

Created: 2008-10-19 11:05:10 | Last updated: 2008-10-19 11:12:58

Credits: Suza Adam

License: Creative Commons Attribution-Share Alike 3.0 Unported License

File type: JPEG image

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Tir1 QTL - Day 3 Microarray intersecting pathways

Created: 2009-04-08 17:56:10

Credits: Paul Fisher

License: Creative Commons Attribution-Share Alike 3.0 Unported License

File type: Excel workbook

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Tir1 QTL - microarray day 7 intersecting pathways

Created: 2009-04-08 17:57:57

Credits: Paul Fisher

License: Creative Commons Attribution-Share Alike 3.0 Unported License

File type: Excel workbook

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Taverna microarray BMC Bioinformatics paper

Created: 2010-02-04 11:35:51

Credits: Peter Li

License: Creative Commons Attribution-Share Alike 3.0 Unported License

File type: Adobe PDF

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Trichuriasis Induced Colitis

Created: 2011-02-16 15:16:17 | Last updated: 2011-02-16 15:16:24

Credits: Paul Fisher

Attributions: Pathways and Gene annotations for RefSeq ids KEGG pathways common to both QTL and microarray based investigations Pathways and Gene annotations for QTL region Pathway and Gene to Pubmed

License: Creative Commons Attribution-Share Alike 3.0 Unported License

File type: Trident (Package)

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Microarray data analysis using R

Created: 2008-07-02 11:30:06 | Last updated: 2010-02-04 11:41:11

3 items in this pack

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useful_for_sysmo

Created: 2008-12-17 12:31:48 | Last updated: 2009-06-10 09:43:20

21 items in this pack

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Package: mapping oligonucleotides to an assembly

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

5 items in this pack

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Towards Genotype-Phenotype Correlations

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

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Trichuriasis induced Colitis

Created: 2011-02-16 12:49:21 | Last updated: 2011-02-16 15:26:36

5 items in this pack

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HUMAN Microarray CEL file to candidate pat... (4)

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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 returned 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 ...

Created: 2007-10-03 | Last updated: 2009-11-26

KEGG pathways common to both QTL and micro... (3)

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This workflow takes in two lists of KEGG pathway ids. These are designed to come from pathways found from genes in a QTL (Quantitative Trait Loci) region, and from pathways found from genes differentially expressed in a microarray study. By identifying the intersecting pathways from both studies, a more informative picture is obtained of the candidate processes involved in the expression of a phenotype.   Example input for this workflow is given below (as newline separated values). qt...

Created: 2009-11-24 | Last updated: 2009-12-03

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

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: Peter Li

Microarray CEL file to candidate pathways (2)

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: Paul Fisher Saeedeh

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

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

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: Pieter Neerincx Philipg

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: Peter Li

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: Peter Li

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

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

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: Wassinki Pieter Neerincx

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

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: Wei Tan Ravi Stian Soiland-Reyes

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

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

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

Query caArray data service and retrieving ... (2)

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need to install Taverna 2 caGrid integration suite from http://www.mcs.anl.gov/~wtan/t2/ and get a cagrid Dorian account (see http://wiki.cagrid.org/display/caGrid13/Home)

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

Credits: Wei Tan

A simple CQL query workflow in caGrid (1)

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1. CQL is a language to query data from caGrid/caBIG services. This workflow is tested with Taverna 2.1.2 and the caGrid Workflow Suite downloadable from http://www.mcs.anl.gov/~wtan/t2/. 2.More information regarding CQL can be found from http://wiki.cagrid.org/display/dataservices. 3. Sample input (95) is provided in the workflow. It is to query all the hybridization data within a microarray experiment whose id is 95.

Created: 2010-05-24 | Last updated: 2010-05-25

Credits: Wei Tan

Principle Component Analysis (PCA) over mi... (1)

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Principle Component Analysis (PCA) over microarray data. Data is uploaded through caGrid transfer ultility.

Created: 2010-09-10 | Last updated: 2010-09-10

Credits: Wei Tan

Pathways and Gene annotations for RefSeq ids (1)

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This workflow searches for genes which were found to be differentially expressed from a microarray study in the mouse, Mus musculus. The workflow requires an input of gene ref_seq identifiers. Data is then extracted from BioMart to annotate each of the genes found for each ref_seq id. The Entrez and UniProt identifiers are then sent to KEGG to obtain KEGG gene identifiers. The KEGG gene identifiers are then used to search for pathways in the KEGG pathway database.

Created: 2010-11-15 | Last updated: 2010-11-15

Credits: Paul Fisher

KEGG pathways common to both QTL and micro... (1)

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This workflow takes in two lists of KEGG pathway ids. These are designed to come from pathways found from genes in a QTL (Quantitative Trait Loci) region, and from pathways found from genes differentially expressed in a microarray study. By identifying the intersecting pathways from both studies, a more informative picture is obtained of the candidate processes involved in the expression of a phenotype

Created: 2010-11-15 | Last updated: 2010-11-15

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

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