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Escherichia coli : From cDNA Microarray Ra... (1)

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This workflow takes in a CDNA raw file and a normalisation method then returns a series of images/graphs which represent the same output obtained using the R and bioconductor. 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 changes in the microarray data. By identifying the candidate pathways, more detailed...

Created: 2008-05-08 | Last updated: 2008-05-12

Credits: Saeedeh Paul Fisher

Attributions: HUMAN Microarray CEL file to candidate pathways

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

Retrieve_abstract_from_Medline (1)

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This workflow retrieves Medline Abstracts given PMIDs (PubMed id) You can use: 9879 as input example to test this workflow

Created: 2008-09-17 | Last updated: 2008-09-17

Credits: Franck Tanoh

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

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

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

Credits: Fong Chun Chan