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PubMed Term Counts

Created: 2009-08-11 13:59:35

Credits: Paul Fisher

License: Creative Commons Attribution-Share Alike 3.0 Unported License

File type: Plain text

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Ondex and Taverna Tutorial

Created: 2009-10-22 13:50:53 | Last updated: 2009-10-22 13:51:51

Credits: George

License: Creative Commons Attribution-Share Alike 3.0 Unported License

File type: Word document

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CWA-Working Group 3.2 ConceptWiki

Unique name: ConceptWiki
Created: Wednesday 29 July 2009 16:03:54 (UTC)

3 shared items   |   3 announcements

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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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HD data interpretation

Created: 2013-09-02 13:18:22 | Last updated: 2015-04-03 21:14:41

6 items in this pack

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BioSemantics Concept Profile Generation Workflows

Created: 2014-06-04 12:31:09 | Last updated: 2014-06-04 13:01:44

9 items in this pack

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Rank Phenotype Terms (1)

This 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 PubMed database. It also identified the total number of articles within pubmed so that a term enrichment score may be calculated. The workflow also takes in a document containing abstracts that are related to a particular phenotype. Scientiifc terms are then extracted from this text and given a weighting according to the number of terms that ...

Created: 2009-08-10

Credits: Paul Fisher

Table Parser (1)

This workflow parsers a table (specified by the user), into an Ondex Graph on the web server.

Created: 2009-08-19

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

Concept Class Filter (1)

This workflow filters a Ondex graph based on a specific concept class. The result is a new Ondex graph. The parameters that can be used with this service are as follows: graphId - the ID of the input Graph. outputGraphId - the ID of the output Graph (Optional). If no output graph is specified filtered items will be removed from the input graph. TargetConceptClass - Target Concept Class to filter out. RefactorTrinaries - Where the qualifier of a trinary relation is out of scope create a bina...

Created: 2009-08-19

Credits: Paul Fisher

Concept Class Neighbours Filter (1)

This workflow filters a given Ondex graph based on a user defined concept class. The neighbours of the concept class are returned as a new Ondex graph. The parameters that can be used with this service are as follows: graphId - the ID of the input Graph. outputGraphId - the ID of the output Graph (Optional). If no output graph is specified filtered items will be removed from the input graph. Depth - The Depth (distance from seed in relations) to apply the filter to. ConceptClass - The Conce...

Created: 2009-08-19

Credits: Paul Fisher

Context Consensus Filter (1)

This workflow filters a given Ondex graph according to a consensus with regards to a specific context (concept list). The result is a new Ondex graph. The parameters that can be used with this service are as follows: graphId - the ID of the input Graph. outputGraphId - the ID of the output Graph. Optional parameter. If no output graph is specified filtered items will be removed from the input graph. Threshold - Double value representing the share of contexts that qualify a graph element for ...

Created: 2009-08-19

Credits: Paul Fisher

SubGraph Filter (2)

This workflow filters a given Ondex graph to return a new ondex sub-graph. The parameters that can be used with this service are as follows: graphId - the ID of the input Graph. outputGraphId - the ID of the output Graph. Optional parameter. If no output graph is specified filtered items will be removed from the input graph. ConceptID - The root concept to start at. Valid value range is 1 to 2147483647. FirstRelationType - RelationType limitation for depth 1 (Optional). FirstConceptClass - C...

Created: 2009-08-19

Credits: Paul Fisher

Cosine vector space (2)

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This workflow calculates the cosine vector space between two sets of corpora. The workflow then removes any null values from the output. this is some extra text vbeing added

Created: 2010-12-08 | Last updated: 2011-01-11

Credits: Paul Fisher

Attributions: Cosine vector space

Rank Phenotype Terms (2)

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This 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 PubMed database. It also identified the total number of articles within pubmed so that a term enrichment score may be calculated. The workflow also takes in a document containing abstracts that are related to a particular phenotype. Scientiifc terms are then extracted from this text and given a weighting according to the number of terms that ...

Created: 2010-12-08 | Last updated: 2011-01-11

Credits: Paul Fisher

Attributions: Rank Phenotype Terms

Pathway to Pubmed (2)

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

Created: 2010-12-08 | Last updated: 2011-01-11

Credits: Paul Fisher

Extract Scientific Terms (2)

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

Created: 2010-12-08 | Last updated: 2011-01-11

Credits: Paul Fisher

Rank Phenotype Terms (1)

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This 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 PubMed database. It also identified the total number of articles within pubmed so that a term enrichment score may be calculated. The workflow also takes in a document containing abstracts that are related to a particular phenotype. Scientiifc terms are then extracted from this text and given a weighting according to the number of terms that ...

Created: 2011-02-01 | Last updated: 2011-02-01

Credits: Paul Fisher

Attributions: Cosine vector space Rank Phenotype Terms

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

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

Explain concept scores (7)

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Purpose of workflow: This workflow takes two concept ids as input and returns the top ranking "B" concepts according to Swanson's ABC model of discovery, where the relationships AB and BC are known and reported in the literature, and the implicit relationship AC is a putative new discovery. It might also be the case that AC is already known. In that case AC does not represent a new discovery but will still be returned (see workflow example values). The B concepts are returned sorted on the pe...

Created: 2012-02-07 | Last updated: 2014-07-14

Credits: Reinout van Schouwen

Match gene lists based on information in l... (7)

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[THIS WORKFLOW IS IN BETA STAGE] This workflow computes the match between two lists of Entrez Gene Identifiers by means of concept profile matching (Jelier et al., van Haagen et al.). The result of this is a list of concepts ordered by their matching score (the length of the list set by maxMatchNr). Of this list the summed scores are explained by computing the concepts that contribute most to the combination of the matching genes. Example to explain (by analogy): When a group of informatic...

Created: 2012-04-17 | Last updated: 2012-04-25

Credits: Marco Roos Reinout van Schouwen Eleni Kristina Hettne BioSemantics

Attributions: Match concept profiles Explain concept scores

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

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

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 Concept IDs (5)

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Purpose: The workflow retrieves the concepts within a concept set. The Web service/workflow currently returns no values (bug).

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

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

Get concept information (5)

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The workflow takes a (list of) concept ID(s) as input and returns the profile, ID, definition and name of the concept.

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

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

List Concept Sets (3)

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Pupose: The workflow returns a list of all Concept Set IDs currently available in the database. The Concept Sets have an hierarchical structure that can be inferred by referring to the parent Concept Set ID.

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

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

Filter concepts with profiles (4)

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Purpose: Filter a list of concept id(s) by returning only those with a concept profile in the database.

Created: 2012-09-14 | Last updated: 2014-07-14

Credits: Kristina Hettne Reinout van Schouwen Martijn Schuemie BioSemantics

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

Free text search to Concept Wiki URI (4)

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Free text search of concept wiki using the Openphacts "Map free text to a concept url based on semantic tag" ie /search/byTag. Search for either compounds or targets depending on the input uuid for "searchType" and filter by source authority with the "branch" input

Created: 2013-06-24 | Last updated: 2013-06-24

Credits: Ian Dunlop Katy Wolstencroft Marco Roos paul groth

Get concept suggestions from term (1)

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This workflow suggests concept ids that match the query term. The user can run this workflow with any term of interest as for example "human", "htt", "Transcription" etc, and will get suggestions for concept ids together with descriptions. Then can choose the concept id that matches the best to her/his needs and use it to the rest of the CPA workflows.

Created: 2013-08-31

Credits: Eleni BioSemantics

Find compounds pharmacology and align agai... (1)

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Look up concept URI from freetext, e.g. "aspirin", find compound pharmacology and their target info. For each target, blast+tree on its sequence - if any. Uses the Open PHACTs API https://dev.openphacts.org/docs/alpha and the myExperiment workflow 3369 "Blast_Align_and_Tree" http://www.myexperiment.org/workflows/3369. Notice that in tihs workflow, most concepts won't have compounds, and most compounds won't have targets, and most targets won't have a sequence - Open PHACT API wise this mean...

Created: 2013-10-16

Credits: Stian Soiland-Reyes Katy Wolstencroft

Attributions: Blast_Align_and_Tree

Find compounds pharmacology targets in Ope... (2)

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Look up concept URI from freetext, e.g. "aspirin", find compound pharmacology and their target info. For each target, blast+tree on its sequence - if any. Uses the Open PHACTS API https://dev.openphacts.org/docs/1.5. Notice that in tihs workflow, most concepts won't have compounds, and most compounds won't have targets, and most targets won't have a sequence - Open PHACT API wise this means this workflow would be propagating 404 Not Found errors. Until there is a Local worker to filter out...

Created: 2013-10-16 | Last updated: 2015-11-19

Credits: Stian Soiland-Reyes

Attributions: Find compounds pharmacology and align against target sequences

Annotate gene list with top ranking concepts (4)

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This workflow annotates a comma separated gene list with a predefined concept set as for example Biological processes or Disease/syndrome. To obtain the particular id for each concept set (e.g. "5" for Biological processes), the workflow listPredefinedConceptSets needs to run first. The output provides us with the top (cutoff) concepts that describe our gene list of interest The workflow is using the anni web services .

Created: 2013-12-03 | Last updated: 2015-04-03

Credits: Eleni

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

Get HPO concept label and synonym (1)

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This workflow queries bioportal for label and synonyms of Human Phenotype Ontology concepts.Note: this workflow requires a BioPortal API key to work. It can be requested from bioportal.bioontology.org

Created: 2014-10-20 | Last updated: 2014-10-20

Credits: Rajireturn BioSemantics

HPO-UMLS-ConceptID mapping (1)

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Generate HPO-Concept profiles via HPO-UMLS mappings. The result is a list of Concept IDs corresponding to Concept profiles for UMLS concepts that approximate HPO concepts. The output is a table of UMLS-ID, HPO- ID, COncept-ID rows.

Created: 2014-10-20

Credits: Marco Roos BioSemantics

Get concept suggestions from term (1)

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This workflow suggests concept ids that match the query term. The user can run this workflow with any term of interest as for example "human", "htt", "Transcription" etc, and will get suggestions for concept ids together with descriptions. Then can choose the concept id that matches the best to her/his needs and use it to the rest of the CPA workflows.

Created: 2015-02-18

Credits: Eelke van der Horst Kristina Hettne Marco Roos Eleni

Attributions: Get concept suggestions from term