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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

PW2ENS (2)

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This workflow uses the WikiPathways Webservice/API to query to retrieve all ENSEMBL identifers for the given pathway.

Created: 2015-10-02 | Last updated: 2015-10-12

Credits: Kristina Hettne Eleni

GetWikiPWByENS (2)

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This workflow uses the WikiPathways Webservice/API to query for pathways containing a specific ENSEMBL identifier. The mapping service behind WikiPathways takes care of the identifier mapping, making sure that all relevant results are found even if they were originally reported using a different identifier scheme.

Created: 2015-10-02 | Last updated: 2015-10-12

Credits: Kristina Hettne Eleni

AllPW2ENS (2)

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This workflow uses the WikiPathways Webservice/API to query to retrieve all ENSEMBL identifers for all pathways and merge them into one, unique list.

Created: 2015-10-02 | Last updated: 2015-10-12

Credits: Kristina Hettne Eleni

ImportConvertEnsembl (1)

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This workflow accepts a spreadsheet file as input and extracts a list of ENSEMBL Gene IDs from column A. The hsapiens_gene_ensembl service converts these IDs to Entrez_geneIds

Created: 2014-09-05

Credits: Katy Wolstencroft

Annotate a gene list with disease concepts (1)

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Purpose: Currently, this workflow takes a list of genes and a concept set as input, calculates the matching score between these and finds the concept that contributes the most to the match. Author comments: The workflow is in Beta stage. It runs, but needs more testing with different parameter settings. This workflow can be used together with other workflows in this pack: http://www.myexperiment.org/packs/368 for functional gene annotation and knowledge discovery.

Created: 2013-02-06

Credits: Kristina Hettne Reinout van Schouwen Marco Roos BioSemantics

Attributions: SNPs to Concept Set through Concept Profile Matching v2

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