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Category: Workflow Tag: gene

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 Cosine vector space (1)

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This workflow calculates the cosine vector space between two sets of corpora. The workflow then removes any null values from the output. The result is a cosine vector score between 0 and 1, showing the significance of any links between one concept (e.g. pathway) to another (e.g. phenotype). A score of 0 means there is no or an undetermined correlation between the two concepts. A score approaching 1 represents positive correlation.

Created: 2009-08-10 | Last updated: 2009-08-10

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 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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Workflow Kegg pathway diagrams (1)

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Find pathways in which all the genes in the list are involved. For each pathway draw the pathway diagram.for each protein draw a diagram of the Kegg pathway that its protein is involved in and where available visualise the structures

Created: 2010-03-13

Credits: User Jannetta

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Workflow 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: User Wei Tan

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Workflow chicken_ensembl_gene_id (1)

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Accepts a chromosome eg. 1 and returns the ensembl gene ids for that chromosome

Created: 2009-09-07 | Last updated: 2009-09-09

Credits: User Rory

Workflow Tab Parser (1)

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This workflow takes in a tab separated file, and then parses specific rows and columns from the file into an Ondex Graph. Additional prarameters are provided, though these are optional: graphId Long the ID of the Graph (REQUIRED) input String the plugin input (REQUIRED) skip Integer How many rows to skip at begin of document (Optional). Default value is 22. fromCol Integer Index of concept parser id for from concept. Default value is 0. (REQUIRED) toCol Integer Index of concept par...

Created: 2009-08-19

Credits: User Paul Fisher

Workflow GWAS to biomedical concept (3)

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Genome-Wide Association studies (GWAS) with metabolomic phenotypes yield several statistically significant SNP-metabolite associations. To understand the biological basis of the association, scientists typically dwell on identifying genes in the vicinity of the SNP and the possible pathways that the gene participates in. The information needed to arrive at an understanding of the mechanistic basis of the association requires integration of disparate data sources. The purpose of this workflow ...

Created: 2013-04-15 | Last updated: 2014-07-14

Credits: User Kristina Hettne User Harish Dharuri User Marco Roos User Reinout van Schouwen

Workflow SNPs to Concept Set through Concept Profil... (6)

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Purpose: Currently, this workflow takes one SNP and a concept set as input, calculates the matching score between these, finds co-occuring documents between the query concept and the match concept, finds the concept that contributes the most to the match, and the documents that support this finding. 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...

Created: 2012-06-26 | Last updated: 2013-02-05

Credits: User Kristina Hettne User Eleni User Harish Dharuri User Reinout van Schouwen User Marco Roos User Martijn Schuemie Network-member BioSemantics

Attributions: Workflow Find Supporting Documents Workflow SNP_ID2EntrezGene_ID Workflow DatabaseID to ConceptID Workflow Match gene lists based on information in literature Workflow Match concept profiles Workflow Explain concept scores

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