All content

Pathways and Gene annotations for QTL region (7)

• Download

This workflow searches for genes which reside in a QTL (Quantitative Trait Loci) region in the mouse, Mus musculus. 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 path...

Created: 2009-11-19 | Last updated: 2012-09-07

Credits: Paul Fisher

Get Gene Ids for Human (1)

• Download

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: Paul Fisher

BiomartAndEMBOSSDisease (4)

• Download

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: Katy Wolstencroft Alan Williams

Attributions: BiomartAndEMBOSSAnalysis

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

Kegg pathway diagrams (1)

• Download

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: Jannetta

caArray data retrieving (1)

• Download

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

chicken_ensembl_gene_id (1)

• Download

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

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

Credits: Rory

GWAS to biomedical concept (3)

• Download

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: Kristina Hettne Harish Dharuri Marco Roos Reinout van Schouwen

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

• Download

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: Kristina Hettne Eleni Harish Dharuri Reinout van Schouwen Marco Roos Martijn Schuemie BioSemantics

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

DatabaseID to ConceptID (7)

• Download

Purpose: This workflow maps input Identifiers, common database identifiers, to the Concept Identifiers from the EMC ontology. Result: Concept Identifiers from the EMC ontology. Comments: Database: one of CAS, DRUG, etc. The supported databases are listed below (database, description, example). CAS, Chemical Abstracts Service registry number, 64-17-5. DRUG, Drug Bank, DB00316. AF, Affymetrix, 200007_at. CHEB, ChEBI, 16236. CHID, ChemIDplus, 0000050000. EG, Entrez-Gene, 3064. GO, Gene Ontol...

Created: 2012-06-25 | Last updated: 2014-07-14

Credits: Marco Roos Martijn Schuemie Reinout van Schouwen BioSemantics