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Pathways and Gene annotations for QTL region (7)

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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

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: Kristina Hettne Harish Dharuri Marco Roos Reinout van Schouwen

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: 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

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: Tim Beck

Get similar phenotypes for a disease and a... (1)

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This workflow retrieves the similar phenotypes between a disease and a gene based on the Monarch services at http://monarchinitiative.org/page/services. Phenotype similarity is calculated based on OwlSim, see http://owlsim.org.

Created: 2016-02-22

Credits: Kristina Hettne

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 Huntington’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: Eleni

Pathways and Gene annotations for QTL region (1)

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This workflow searches for genes which reside in a QTL (Quantitative Trait Loci) region in rice, Oryza sativa. 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 UniGene 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 d...

Created: 2011-05-27 | Last updated: 2011-05-27

Credits: Paul Fisher

Gene expression interpretation by the Glob... (1)

This workflow adds meaning to gene expresion values by performing a standard and a literature weighted Global Test. Gene expression is expected to be from Affymetrix microarrays, for which an RMA normalization and entrez Gene ID mapping/summation is performed. Original workflow is by Dennis Leenheer, edits by Marco Roos. Scripts by Kristina Hettne, acknowledging Rob Jellier, Jelle Goeman, and Peter-Bram 't Hoen. The workflow was created for the LUMC BioSemantics group, part of the Human Gen...

Created: 2011-04-26 | Last updated: 2011-04-26

Credits: Marco Roos

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: Paul Fisher

Attributions: Pathways and Gene annotations for QTL region

Pathway and Gene to Pubmed (2)

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This workflow takes in a list of gene names and KEGG pathway descriptions, and searches the PubMed database for corresponding articles. Any matches to the genes are then retrieved (abstracts only). These abstracts are then used to calculate a cosine vector space between two sets of corpora (gene and phenotype, or pathway and phenotype). The workflow counts the number of articles in the pubmed database in which each term occurs, and identifies the total number of articles in the entire PubMe...

Created: 2011-02-10 | Last updated: 2011-02-18

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 Gene to Pubmed