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Metabolic differences in ripening of Solan... (2)

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Updated data processing workflow for metabolomics LC-MS/MS data. This workflow depends on the stable community plug-in MassCascade and KNIME plug-ins Base Chemistry, Chemistry Types & Nodes, Math Expression, and XLS Support. The workflow was run under KNIME version 2.9.2.

Created: 2013-10-16 | Last updated: 2014-07-04

Credits: SBeisken

Clustering of Molecular Compounds with Bio... (4)

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This workflow downloads an input set of molecular compounds in SMILES format, using Chemspider service. The most frequent molecular fragments are extracted by means of MoSS tool (see http://www.borgelt.net/moss.html) , in order to obtain a set of features for each compound. Then a clustering and a visual exploration of the input dataset is performed by BioDICE service (see http://biolab.pa.icar.cnr.it/biodice.html), implementing Fast Learning Self-Organized Map (FLSOM) algorithm. Finally the ...

Created: 2013-05-29 | Last updated: 2014-01-09

Credits: Antonino Fiannaca Massimo La Rosa

Attributions: Get compound information Simple search

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

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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

Comments: 0 | Viewed: 134 times | Downloaded: 28 times

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

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Industrial process for OXICONAZOLE Dr Krishnasarma P...

Created: 2012-07-24 11:38:44 | Last updated: 2013-06-21 09:49:15

Credits: Drkrishnasarmapathy

License: Creative Commons Attribution-Share Alike 3.0 Unported License

File type: Adobe PDF

Comments: 0 | Viewed: 74 times | Downloaded: 119 times

Find co-occurring documents (6)

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Purpose: This workflow search an indexed literature database for documents mentioning both of the input concepts. Author comments: Currently, PubMed is the underlying data source.

Created: 2012-07-13 | Last updated: 2014-07-14

Credits: Kristina Hettne Reinout van Schouwen Marco Roos Martijn Schuemie 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

Find Supporting Documents (6)

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This workflow finds documents that serve as evidence for the association between two concepts. Results: Document titles Document identifiers There seems to be a bug at the moment, since it returns empty values.

Created: 2012-06-26 | Last updated: 2014-07-14

Credits: Kristina Hettne Marco Roos Reinout van Schouwen Martijn Schuemie BioSemantics

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

Secure REST service call example (2)

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This is an example of a workflow that contains a call to a secure REST service that requires user to authenticate with HTTP Basic Authentication. You can use testuser/testpasswd as username and password for authentication when running the workflow.

Created: 2012-04-05 | Last updated: 2014-01-16

Credits: Alan Williams

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

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

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Recommender systems workflow templates 2012

Created: 2012-01-08 12:27:43 | Last updated: 2012-06-03 19:48:22

12 items in this pack

Comments: 0 | Viewed: 475 times | Downloaded: 145 times

Find orthologs using a list of uniprot acc... (2)

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Find orthologs based on ensembl information using as input/output uniprot accessions

Created: 2011-10-14 | Last updated: 2014-06-03

Credits: Rafael C. Jimenez

Associate hessi flares with active regions (3)

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This workflow is querying the HFC ActiveRegions list and HEC hessi_flare list. It requires a time periode and a search radius arround the centre of an Active Region as inputs It produces two outputs: AnnotatedFeatureTable is a modified VOTable where a field is added with the number of associated hessi flares. CombinedTable is a 2 dimensional list with an VOTable for each Active region and one with an VOTable for all associated flares for that Active Region.

Created: 2011-06-22 | Last updated: 2012-07-10

Credits: Donal Fellows

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