User: Harish Dharuri

KEGG:Get PW for met (1)

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The purpose of the workflow is to retrieve all the pathways that the input metabolite(s) participates in.

Created: 2016-06-21

Credits: Kristina Hettne Harish Dharuri

Attributions: KEGG:Pathway Scheme

BioCyc:Reaction Scheme (1)

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The purpose of this workflow is to determine all the enzymes/genes that participate in a radius of 2 reaction steps around a given metabolite. Broadly, the scheme involves the following steps: 1. determine all the reactions that the given metabolite participates in 2. determine all the compounds that participate in these reactions 3. filter certain compounds like H2O, ATP etc to avoid non-specific connections 4. determine all the reactions that the compounds passing through step 3 participate...

Created: 2013-09-06

Credits: Harish Dharuri

BioCyc:Pathway Scheme (1)

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The purpose of the workflow is to determine all the genes operating in BioCyc pathways that the input metabolite participates in. The overall idea is to generate a set of genes that potentially influence the levels of a metabolite due to the common pathways that they share.

Created: 2013-09-06

Credits: Harish Dharuri

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

Mining the Kegg pathway database with the ... (2)

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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: 2012-08-29 | Last updated: 2013-05-15

Credits: Harish Dharuri

SNP_ID2EntrezGene_ID (4)

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Purpose: The workflow maps a SNP (dbSNP id) to a gene (EntrezGene id). Author comments: The window for gene inclusion can be set using the set_width parameter. This workflow can be used together with other workflows in this pack: http://www.myexperiment.org/packs/282 for functional gene and SNP annotation and knowledge discovery.

Created: 2012-06-26 | Last updated: 2013-03-11

Credits: Kristina Hettne Harish Dharuri

KEGG:Pathway Scheme (2)

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The purpose of the workflow is to determine all the genes operating in the pathways that the input metabolite participates in. The overall idea is to generate a set of genes that potentially influence the levels of a metabolite due to the common pathways that they share.

Created: 2012-08-14 | Last updated: 2013-08-27

Credits: Harish Dharuri

Kegg:Reactions Scheme (2)

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The purpose of this workflow is to determine all the enzymes/genes that participate in a radius of 2 reaction steps around a given metabolite. Broadly, the scheme involves the following steps: 1. determine all the reactions that the given metabolite participates in 2. determine all the compounds that participate in these reactions 3. filter certain compounds like H2O, ATP etc to avoid non-specific connections 4. determine all the reactions that the compounds passing through step 3 participate...

Created: 2012-08-20 | Last updated: 2013-08-27

Credits: Harish Dharuri

Create_SNP_Set (1)

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The purpose of the workflow is to determine SNPs in the vicinity of the genes and create a SNP set for a given set of genes. The user has the freedom to choose the flanking width around the gene for determining the SNPs. The input is in the form of entrez gene ids. Biomart services are used to determine the chromosome and position of the gene as well as determining Affy gene chip 6k ids. The final report is stored as a tab-delimited text file with Affy 6 gene chip ids for the SNP and Kegg inf...

Created: 2012-08-21

Credits: Harish Dharuri