Workflows

GeneIlluminator_GetPubMedQuery (2)

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Example workflow demonstrating how to use GeneIlluminator_GetPubMedQuery, a synchronous BioMOBY service for gene symbol disambiguation. If a gene symbol is ambiguous this service uses GeneIlluminator to create clusters describing which different genes, sharing the same symbol, exist in different parts of the tree of life. GeneIlluminator provides also aliases associated to the input gene symbol. Finally, using the cluster characteristics it creates a boolean PubMed query that could be used to...

Created: 2008-02-27 | Last updated: 2008-03-03

Credits: Pieter Neerincx Alako

GeneIlluminator_Disambiguate (2)

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Example workflow demonstrating how to use GeneIlluminator_Disambiguate, a synchronous BioMOBY service for gene symbol disambiguation. If a gene symbol is ambiguous this service provides GI_Clusters describing which different genes, sharing the same symbol, exist in different parts of the tree of life. Provides also gene symbol aliases associated to the input gene symbol. (This is the same output as the one from the GeneIlluminator_GetClusters service.) In addition this service takes an Organi...

Created: 2008-02-27 | Last updated: 2008-03-03

Credits: Pieter Neerincx Alako

GeneIlluminator_GetGraph (2)

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Example workflow demonstrating how to use GeneIlluminator_GetGraph, a synchronous BioMOBY service for gene symbol disambiguation. If a gene symbol is ambiguous this service uses GeneIlluminator to create clusters describing which different genes, sharing the same symbol, exist in different parts of the tree of life. GeneIlluminator provides also aliases associated to the input gene symbol. Finally, a graphical overview of the clusters and gene symbols is created in SVG format and returned to ...

Created: 2008-02-27 | Last updated: 2008-03-03

Credits: Pieter Neerincx Alako

GeneIlluminator_GetClusters (2)

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Example workflow demonstrating how to use GeneIlluminator_GetClusters, a synchronous BioMOBY service for gene symbol disambiguation. If a gene symbol is ambiguous this service provides GI_Clusters describing which different genes, sharing the same symbol, exist in different parts of the tree of life. Provides also gene symbol aliases associated to the input gene symbol. (Use GeneIlluminator_GetGraph for a graphical representation of the clusters or GeneIlluminator_Disambiguate to get the mos...

Created: 2008-02-27 | Last updated: 2008-03-03

Credits: Pieter Neerincx Alako

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

EBI_Whatizit (1)

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Perform a text-mining analysis of an input text document using the EBI's Whatizit tool (http://www.ebi.ac.uk/webservices/whatizit/info.jsf). Whatizit provides a number of text-mining pipelines which can can detect various terms of biological interest in text documents. For example finding gene names and mapping them to UniProtKB identifiers, finding chemical terms and mapping them to ChEBI, etc.

Created: 2008-07-09

Credits: Hamish McWilliam

Termine Webservice (1)

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Termine is a service provided by the National Centre for Text Mining (NaCTeM) to assist in the discovery of terms in text. More information on the Termine service can be found here. This workflow represents the simplest method of using Termine. The input represents a text string with the output being an string containing a representation of the list of terms, with their C-Value scores (representing significance in the text), in a simple xml format. Other variations of this tools will be adde...

Created: 2008-05-19 | Last updated: 2008-05-19

Credits: Brian Rea National Centre for Text Mining (NaCTeM)

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

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

dreseden-term-extraction1 (1)

No description

Created: 2007-11-22

Credits: Simon Jupp