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Candidate Gene protocol

Created: 2009-04-08 13:27:20

Credits: Paul Fisher

License: Creative Commons Attribution-Share Alike 3.0 Unported License

File type: Word document

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Re-sequenced Daxx gene info

Created: 2009-04-08 17:53:46 | Last updated: 2009-08-10 12:30:59

Credits: Paul Fisher

License: Creative Commons Attribution-Share Alike 3.0 Unported License

File type: Excel workbook

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Tir1 QTL - Day 3 Microarray intersecting pathways

Created: 2009-04-08 17:56:10

Credits: Paul Fisher

License: Creative Commons Attribution-Share Alike 3.0 Unported License

File type: Excel workbook

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Tir1 QTL - microarray day 7 intersecting pathways

Created: 2009-04-08 17:57:57

Credits: Paul Fisher

License: Creative Commons Attribution-Share Alike 3.0 Unported License

File type: Excel workbook

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Ensembl database release

Created: 2009-04-08 18:00:35 | Last updated: 2009-08-10 12:12:09

Credits: Paul Fisher

License: Creative Commons Attribution-Share Alike 3.0 Unported License

File type: Plain text

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Kegg gene descriptions

Created: 2009-04-08 18:06:23 | Last updated: 2009-08-10 12:10:07

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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Gene Cosine Scores

Created: 2009-08-10 16:00:45

Credits: Paul Fisher

License: Creative Commons Attribution-Share Alike 3.0 Unported License

File type: Excel workbook

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Phenotype Concept Profile - Terms

Created: 2009-08-11 13:05:07 | Last updated: 2009-08-11 13:06:51

Credits: Paul Fisher

License: Creative Commons Attribution-Share Alike 3.0 Unported License

File type: Plain text

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Bilateral Perisylvian Polymicrogyria

Created: 2011-03-17 10:56:15 | Last updated: 2011-03-17 11:16:53

Credits: Paul Fisher

Attributions: Pathway and Gene to Pubmed Pathways and Gene annotations forQTL region

License: Creative Commons Attribution-Share Alike 3.0 Unported License

File type: ZIP archive

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Human Probeset data from Affymetrix

Created: 2011-04-01 09:08:45 | Last updated: 2011-04-01 09:08:51

License: Creative Commons Attribution-Share Alike 3.0 Unported License

File type: Plain text

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Text Mining Workflows

Created: 2010-12-08 11:55:03 | Last updated: 2011-02-01 11:33:11

5 items in this pack

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Extract Gene Sequence Information with Kepler

Created: 2011-10-05 04:58:33 | Last updated: 2011-10-05 06:11:56

5 items in this pack

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wf4ever Deliverable 6.3 Pack

Created: 2011-12-02 09:31:26 | Last updated: 2011-12-02 10:21:03

6 items in this pack

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Functional annotation of SNPs using next-generation ...

Created: 2012-06-26 10:41:38 | Last updated: 2015-09-01 14:31:18

12 items in this pack

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Concept profile analysis using Anni Web services

Created: 2013-02-06 19:11:26 | Last updated: 2014-07-15 08:17:33

11 items in this pack

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Mouse Microarray Analysis (3)

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This workflow takes in probesets from and AffyMetrix micorarray experiment and returns: the genes ; gene start and end positions; chromosome where genes reside; ensembl trasncripts; SwissProt ids; affy probeset identifiers for chips Mouse430_2 and Mouse430a_2. Example ids from the Mouse430_2 affymetrix array are as follows (newline separated): 1447227_at 1440624_at 1436240_at 1454904_at 1435665_at 1418148_at 1429831_at

Created: 2007-10-03 | Last updated: 2009-12-03

Gene annotation pipeline for the Graves di... (2)

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This is a revised workflow for the Graves disease scenario gene annotation pipeline used in the myGrid project. The workflow had to be re-written due to the loss of the services invoked in the original workflow.

Created: 2007-10-03 | Last updated: 2007-11-22

Credits: Katy Wolstencroft Peter Li

Human Microarray Analysis (1)

This workflow takes in probesets from and AffyMetrix  Affy HG U133A micorarray experiment and returns: genes ; gene start and end positions; chromosome where genes reside; ensembl trasncripts; SwissProt ids. The final output of the workflow is a list of candidate pathways which are linked to the genes expressed in the microarray data.   Example input for this workflow is: 212283_at 221634_at 220399_at  

Created: 2008-02-08 | Last updated: 2009-12-03

Credits: Paul Fisher

Get Kegg Gene information (2)

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This workflow gets a series of information relating to a list of KEGG genes supplied to it. It also removes any null values from a list of strings.   Example input for this workflow is given below (new line separated): mmu:13163 hsa:1616

Created: 2009-01-26 | Last updated: 2009-12-14

Credits: Paul Fisher

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

omim and pathways (2)

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This workflow searches OMIM for entries associated with a particular disease in OMIM, returns the IDs and maps them to Kegg Gene IDs. For each gene, it then gets the description and any corresponding pathways those genes are involved with

Created: 2009-03-03 | Last updated: 2009-11-02

Credits: Katy Wolstencroft Paul Fisher

Attributions: Get Kegg Gene information

NCBI Gi to Kegg Pathways (1)

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This workflow converts a list of NCBI gi numbers and  converts them to a list of KEGG genes. Those KEGG gene ids are subsequently turned into KEGG pathway identifiers and descriptions. It also removes any null values from a list of strings. Example input for this workflow is as follows (new line separated): gi:215422388 gi:120407068

Created: 2009-06-08 | Last updated: 2009-12-14

Credits: Paul Fisher

Cosine vector space (1)

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: Paul Fisher

Extract Scientific Terms (1)

This workflow takes in a document containg text and removes any non-ascii characters. The cleaned text is then sent to a service in Dresden, to extract all scientific terms. These terms represent a concept profile for the input concpet. Any null values are also removed.

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

Credits: Paul Fisher

Arabidopsis thaliana Microarray Analysis (1)

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This workflow searches for genes which are found to be differentially expressed in a microarray study using Arabidopsis thaliana. The workflow requires an input of a list of differentially expressed AffyMetrix Probeset identifiers. Data is then extracted from BioMart to annotate each of the genes. The 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: 2009-07-08

Credits: Paul Fisher

Tab Parser (1)

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: Paul Fisher

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: Rory

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

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: Wei Tan

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: Paul Fisher

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: Jannetta

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

[untitled] (1)

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No description

Created: 2010-03-16

Credits: Paul Fisher

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

Get KEGG gene descriptions and pathways (1)

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This workflow takes a list of KEGG gene identifiers and supplies descriptions associated to said genes + pathways including all genes and the descriptions associated to said pathways. The list_to_string local beanshell scripts merely transform a given list into a string of unique not-null elements separated by new lines (for batch btit use). Note that the input is a real taverna list : multiple values must be declared as multiple values instead of a single string value with distinct identif...

Created: 2010-04-30 | Last updated: 2010-04-30

Credits: Nadia Cerezo Paul Fisher

Attributions: Get Kegg Gene information

Gene to Pubmed (3)

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This workflow takes in a list of gene names and searches the PubMed database for corresponding articles. Any matches to the genes are then retrieved (abstracts only). These abstracts are then returned to the user.

Created: 2010-07-05 | Last updated: 2011-01-26

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

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

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

gene subset extract (1)

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This workflow functions for matching a set of genes as a part of whole gene data set and aim to extract the subset as a separate list.

Created: 2011-03-29 | Last updated: 2011-03-29

Credits: Naser Paul Fisher

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: Katy Wolstencroft Alan Williams

Attributions: BiomartAndEMBOSSAnalysis

tblastx non-redundant alignment (1)

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This workflow carries out alignments using TCoffee and ClustalW2 for a set of non-redundant proteins where the starting point is a particular genomic coding sequence representing only one member of the gene family in a given species.   For the BioExtract Server implementation, the necessary steps for accomplishing this task involve: 1.   Selecting the NCBI tblastx tool and providing the accession number of the known nucleotide sequence record as input. 2.   The output from ...

Created: 2011-06-30 | Last updated: 2011-07-04

Credits: Carol Lushbough

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

Extract Gene Sequence with Kepler (1)

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This is a workflow which allows one to extract gene sequence information using the accession number as the input.  Multiple outputs include a file output of sequence header information, as well as one output window of base pair count, ratios and gene sequence.

Created: 2011-10-05 | Last updated: 2011-10-05

Credits: Wdsnellg

NCBI Gi to Kegg Pathway Descriptions (5)

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This workflow accepts a list of NCBI gene identifiers and returns descriptions of gene functions and a list of all pathways each gene is involved in (plus pathway image) from the KEGG database. This workflow replaces the earlier SOAP version with the new KEGG REST services

Created: 2012-01-12 | Last updated: 2013-01-30

Credits: Katy Wolstencroft

Attributions: NCBI Gi to Kegg Pathways

Import and convert gene list (1)

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This workflow extracts a column of RefSeq gene IDs from a CSV file and then converts them to Unigene identifiers

Created: 2012-01-15 | Last updated: 2012-03-12

Credits: Katy Wolstencroft

Reactome pathways (1)

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This workflow returns a list of pathways gene products are involved in, along with their descriptions and Gene Ontology annotations

Created: 2012-01-16

Credits: Katy Wolstencroft

Define Associated Regions and Genes (2)

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Defines regions and genes from associated SNPs A JAVA MySQL connector is required to run the workflow and must be placed in the $TAVERNA_HOME/lib directory.

Created: 2012-02-08 | Last updated: 2012-05-09

Credits: Paul martin

Associated Region to Gene List (1)

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Produces a gene list from the Associated Region XML file

Created: 2012-02-08 | Last updated: 2012-02-08

Credits: Paul martin

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

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

Match concept profiles (6)

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Purpose of workflow: The workflow can be used to match a set of concept profiles with another set of concept profiles. Result: A list of concepts ordered by their match to the query concept profiles.

Created: 2011-12-02 | Last updated: 2014-07-14

Credits: Marco Roos Kristina Hettne Martijn Schuemie 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

Oryza Sativa QTLs and genes retrieval from... (2)

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For a given trait and QTL maximum size, retrieve accession numbers of the QTLs along with their mapping positions in Oryza sativa and retrieve genes present in the mapping genomic interval of a given QTL. Data integration from TropGene, Gramene and Ensembl relational databases. Semi-automatic creation of 7 Semantic Web Services for TropGene and Gramene with BioSemantic Use of BioMart Web Services for Ensembl interrogation

Created: 2012-08-08 | Last updated: 2012-09-28

Credits: Julien wollbrett

UnigeneID to KEGG Pathways (3)

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This workflow accepts a list of Unigene gene identifiers and returns descriptions of gene functions and a list of all pathways each gene is involved in (plus pathway image) from the KEGG database. This workflow replaces the earlier SOAP version with the new KEGG REST services

Created: 2012-01-16 | Last updated: 2012-12-17

Credits: Katy Wolstencroft Paul Fisher

Attributions: NCBI Gi to Kegg Pathways

ImportRefSeqtoKegg (3)

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This workflow extracts a column of RefSeq gene IDs from a CSV file and then converts them to Kegg gene identifiers. This workflow uses the new KEGG REST service, which replaces the old SOAP interface from 31st December 2012

Created: 2012-11-12 | Last updated: 2013-01-08

Credits: Katy Wolstencroft

Mining the Kegg pathway database with the ... (1)

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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: 2013-01-30

Credits: Marco Roos

Match concept profiles with predefined set (2)

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Purpose of workflow: The workflow can be used to match a set of concept profiles with predefined set of concept profiles. Result: A list of concepts ordered by their match to the query concept profiles.

Created: 2013-02-05 | Last updated: 2014-07-14

Credits: Kristina Hettne Marco Roos Reinout van Schouwen BioSemantics

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

get promoter region + operate on genomic i... (1)

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Finds the overlap between two datasets which contain genomic information (e.g. [gene id], chromosome name, gene start, gene end), plus some statistics. Returns rows of file_1 which overlap with the second file. A kolmogorov smirnov test is applied between the list that overlaps and the one that does not. NOTE: The library(GenomicRanges) 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

Mapping to ontologies (Gene table) (1)

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This workflow is designed to classify an input gene set to several ontologies and to identify terms, hits for which are overrepresented in the input set. The input file can be any gene or protein table.At the first step, the input table is converted into a table with Ensembl Gene IDs.This table with Ensembl Gene Ids is subjected to functional classification, which is done in parallel by the following ontologies: GO biological processes, GO cellular components, GO molecular functions, Reactome...

Created: 2013-11-13 | Last updated: 2015-04-17

Credits: geneXplain

Find master regulators in networks (GeneWays) (1)

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This workflow is designed to find master regulatory molecules upstream of an input list of genes. Input file is any gene or protein table.At the first step, the input table is converted into a table with Entrez Gene IDs.At the next step the Entrez genes are annotated with additional information, gene description and gene symbols.The annotated gene table is subjected to master regulator search in the GeneWays network. For each potential master regulator, FDR, Score, and Z-score are calculated....

Created: 2013-11-13 | Last updated: 2015-04-17

Credits: geneXplain

Render gene via BioGPS (1)

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This workflow uses the REST API of BioGPS to list the plugins and then allow the user to select which plugin to use to display the input gene id

Created: 2014-04-03

Credits: Alex Nenadic

ImportConvertEnsembl (1)

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This workflow accepts a spreadsheet file as input and extracts a list of ENSEMBL Gene IDs from column A. The hsapiens_gene_ensembl service converts these IDs to Entrez_geneIds

Created: 2014-09-05

Credits: Katy Wolstencroft

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

Create nanopublications (1)

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This workflow creates nanopublications for a gene list that is associated to Huntington's Disease

Created: 2015-04-03

Credits: Eleni BioSemantics

Attributions: create nanopublications converter_nanopublications

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

GOgetter (2)

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Retrieves all GO terms with experimental evidence associated with the given genelist. A GO term may apear multiple times in the resulting list if it is associated with multiple genes.

Created: 2016-06-10 | Last updated: 2016-06-10

Credits: Davy Cats Tom Rosman

GOgetter (no merge) (1)

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Retrieves all GO terms (with experimental evidence) associated with the given genelist. The GO terms are returned in a list per gene.

Created: 2016-06-10

Credits: Davy Cats Tom Rosman