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Tag: human Licence: by-sa

Workflow Get Gene Ids for Human (1)

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This workflow gets a list of gene ids (number depending on Ret_Max_value variable) for Homo sapiens. The species may be changed according to that desired, by altering the term_value string constant

Created: 2010-02-04 | Last updated: 2010-02-04

Credits: User Paul Fisher

Workflow BiomartAndEMBOSSDisease (4)

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This workflow retrieves all genes on human chromosome 22 that are associated with a disease and aligns the upstream regions with mouse and rat homologues. The alignments are plotted and corresponding sequence ids are also returned. Using Biomart and EMBOSS soaplab services, This workflow retrieves a number of sequences from 3 species: mouse, human, rat; align them, and returns a plot of the alignment result. Corresponding sequence ids are also returned.

Created: 2011-01-27 | Last updated: 2012-09-04

Credits: User Katy Wolstencroft User Alan Williams

Attributions: Workflow BiomartAndEMBOSSAnalysis

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Workflow get human and mouse phenotypes for a gene (2)

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This workflow gets phenotype annotations associated with human genes and the mouse orthologs from human (GWAS Central) and mouse (EuroPhenome and MGI) databases.

Created: 2011-05-20 | Last updated: 2012-03-29

Credits: User Tim Beck

Workflow Q1: Give me all oxidoreductase inhibitors ... (2)

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A new version of the Open PHACTS drug discovery question 1 workflow (answers the question: Give me all oxidoreductase inhibitors active <100nM in human and mouse) with improvements contributed by Ellert van Koperen.  To run workflow the parameters for Human and Mouse in the OPS_Swagger node must be re-entered. They become corrupted upon on export to zip file.

Created: 2014-10-22 | Last updated: 2015-06-02

Credits: User Christine Chichester User Daniela Digles Network-member Open PHACTS

Workflow Use Case C, Worflow 3 (1)

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Workflow used to obtain data for the research paper ‘The application of the Open Pharmacological Concepts Triple Store (Open PHACTS) to support Drug Discovery Research’, currently submitted to PLOS ONE.  Requirements:- Knime v2.9- Open PHACTS Knime nodes 1.0.0 (DON'T use any later version!): https://github.com/openphacts/OPS-KnimeInstallation:- Download "org.openphacts.utils.json_1.0.0.zip" and unzip it in the plugins folder of your KNIME installation- Download ...

Created: 2014-05-27 | Last updated: 2014-11-25

Credits: User Emiliano Cuadrado User Joseline Ratnam User Daniela Digles Network-member Open PHACTS

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Workflow Get differentially expressed genes for Arr... (1)

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****IMPORTANT****:if libraries: library(ArrayExpress), library(hgu133b.db), library(limma) are not installed in the local R installation, then they need to be installed before running this workflow. Original data come from Hodges et. al 2006 "Regional and cellular gene expression changes in human Huntingtonā€™s disease brain" This workflow loads the two necessary files (gene expression data & phenotype data), and creates the expression set object to be used by the R package limma, to test for ...

Created: 2013-11-04

Credits: User Eleni

Workflow List all human metabolites in Wikipathways (1)

 List all human metabolites in Wikipathways, using the SPARQL end point.

Created: 2013-03-08

Credits: User Egon Willighagen

Workflow 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: User Paul Fisher

Workflow Pathways and Gene annotations forQTL region (2)

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This workflow searches for genes which reside in a QTL (Quantitative Trait Loci) region in Human, Homo sapiens. The workflow requires an input of: a chromosome name or number; a QTL start base pair position; QTL end base pair position. 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 ...

Created: 2011-03-17 | Last updated: 2011-08-30

Credits: User Paul Fisher

Attributions: Workflow Pathways and Gene annotations for QTL region

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