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Kegg-Uniprot-Entrez cross-references

Created: 2009-04-08 19:23:53 | Last updated: 2009-08-10 12:08:00

Credits: Paul Fisher

License: Creative Commons Attribution-Share Alike 3.0 Unported License

File type: Plain text

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Ensembl gene report

Created: 2009-04-08 19:30:15 | Last updated: 2009-08-10 11:05:59

Credits: Paul Fisher

License: Creative Commons Attribution-Share Alike 3.0 Unported License

File type: Plain text

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Towards Genotype-Phenotype Correlations

Created: 2009-04-08 13:14:54 | Last updated: 2009-08-11 14:50:01

20 items in this pack

Comments: 0 | Viewed: 304 times | Downloaded: 80 times

Entrez Gene to KEGG Pathway (5)

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This workflow takes in Entrez gene ids then adds the string "ncbi-geneid:" to the start of each gene id. These gene ids are then cross-referenced to KEGG gene ids. Each KEGG gene id is then sent to the KEGG pathway database and its relevant pathways returned.

Created: 2009-12-04 | Last updated: 2010-11-30

Credits: Paul Fisher

DataBiNS - Data Mining Workflow for Biolog... (2)

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Created: 2007-12-04 | Last updated: 2007-12-04

Credits: Fong Chun Chan

Microarray CEL file to candidate pathways (2)

This workflow takes in a CEL file and a normalisation method then returns a series of images/graphs which represent the same output obtained using the MADAT software package (MicroArray Data Analysis Tool) http://www.bioinf.manchester.ac.uk/MADAT/index.html. Also retruned by this workflow are a list of the top differentialy expressed genes (size dependant on the number specified as input - geneNumber), which are then used to find the candidate pathways which may be influencing the observed ch...

Created: 2008-02-08 | Last updated: 2009-02-13

Credits: Paul Fisher Saeedeh

Basic eSearch/eFetch cycle (1)

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This is a basic eSearch/eFetch workflow created with taverna and using eUtils from NCBI. It accepts a query term as input (at the moment, for testing purposes, this is a fixed string), interrogate eSearch to retrieve the list of related sequences on the Nucleotide database, and use eFetch to retrieve the corresponding sequences. I wrote this workflow one year ago, when I was trying to understand how taverna and eUtils work; I suspect it broken, and of course it could be enhanced, so I am ...

Created: 2008-12-04 | Last updated: 2008-12-04

Credits: Giovanni Dall'Olio

Pathways and Gene annotations for Arabidop... (2)

This workflow searches for genes obtained from affy_ath1 affymetrix probeset identifiers. 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: 2009-03-06 | Last updated: 2009-12-03

Credits: Paul Fisher Peter Li

Attributions: Pathways and Gene annotations for QTL region

Query dbsnp, transform to HTML (1)

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Created: 2009-05-21 | Last updated: 2009-05-21

Credits: PL

Pathways and Gene annotations for QTL region (2)

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This workflow searches for genes which reside in a QTL (Quantitative Trait Loci) region in the Pig, Sus scrofa. 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: 2009-11-20 | Last updated: 2009-11-20

Credits: Paul Fisher

Attributions: Pathways and Gene annotations for QTL region

Entrez Gene to KEGG Pathway (2)

This workflow takes in Entrez gene ids then adds the string "ncbi-geneid:" to the start of each gene id. These gene ids are then cross-referenced to KEGG gene ids. Each KEGG gene id is then sent to the KEGG pathway database and its relevant pathways returned.

Created: 2010-04-15 | Last updated: 2010-04-15

Credits: Paul Fisher

Phenotype to pubmed (3)

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This workflow takes in a phenotype search term, and searches for abstracts in the PubMed database. These are passed to the eSearch function and searched for in PubMed. Those abstracts found are returned to the user

Created: 2010-07-05 | Last updated: 2011-01-11

Credits: Paul Fisher

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 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: 2010-11-15 | Last updated: 2010-11-16

Credits: Paul Fisher

Attributions: Pathways and Gene annotations for QTL region

Pathways and Gene annotations for RefSeq ids (1)

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This workflow searches for genes which were found to be differentially expressed from a microarray study in the mouse, Mus musculus. The workflow requires an input of gene ref_seq identifiers. Data is then extracted from BioMart to annotate each of the genes found for each ref_seq id. The Entrez and UniProt identifiers are then sent to KEGG to obtain KEGG gene identifiers. The KEGG gene identifiers are then used to search for pathways in the KEGG pathway database.

Created: 2010-11-15 | Last updated: 2010-11-15

Credits: Paul Fisher

Pathways and Gene annotations forQTL region (1)

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This workflow searches for genes which reside in a QTL (Quantitative Trait Loci) region in Cow, Bos taurus. 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 data...

Created: 2011-01-21 | Last updated: 2011-01-21

Credits: Paul Fisher

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

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: 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 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

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

Map a Entrez Gene ID to a Gene Ontology ID (1)

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Created: 2012-01-07

Credits: Egon Willighagen

Get Pathway-Genes by Entrez gene id (4)

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Given a specific entrez gene id, returns the pathways that this gene participates in and for each of those pathways which genes are associated with. The workflow outputs also a KEGG pathway map and the objects are colored according to the input color values.

Created: 2012-03-08 | Last updated: 2012-04-14

Credits: Eleni

Get Pathway-Genes and gene description by ... (2)

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Given a specific entrez gene id, returns the pathways that this gene participates in and for each of those pathways which genes (including their description) are associated with.

Created: 2012-03-27 | Last updated: 2012-04-03

Credits: Eleni

DatabaseID to ConceptID (7)

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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

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

Annotate a gene list with disease concepts (1)

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Purpose: Currently, this workflow takes a list of genes and a concept set as input, calculates the matching score between these and finds the concept that contributes the most to the match. 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.myexperiment.org/packs/368 for functional gene annotation and knowledge discovery.

Created: 2013-02-06

Credits: Kristina Hettne Reinout van Schouwen Marco Roos BioSemantics

Attributions: SNPs to Concept Set through Concept Profile Matching v2

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

Map genes to chromosomal location (1)

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This workflow maps a gene list to the genome using the biomart service, and afterwards computes a promoter region for each gene. The user needs to define the promoter region to be computed. The direction that a gene is transcribed is being taken into account in the "compute_promoter_region_with_strand" component. The variable "strand" is responsible for that. NOTE: The library(biomaRt) is a prerequisite for this workflow

Created: 2013-11-04

Credits: Eleni

Map genes to chromosomal location for T2WEB (1)

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This workflow maps a gene list on the genome using the biomart service. IMPORTANT NOTE: Keep in mind that for uploading files on t2web, you need to wait few minutes before executing the workflow. That's essential because the file needs first to be uploaded on the server.

Created: 2013-11-04

Credits: Eleni

entreztoKeggImage (1)

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This workflow accepts a list of Entrez Gene IDs. It dentifies which KEGG pathway each gene is involved with and displays the pathway diagrams

Created: 2014-09-05

Credits: Katy Wolstencroft