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DOI Record Generator (1)

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This workflow generates DOI record files for deposit, using data set metadata for the FLOSSmole project. It reads in an input file generated from a SQL query from an eprints database, and transforms the parts of the source file as necessary to create a comprehensive DOI deposit record. It also generates DOIs for the data sets. These metadata are inserted into an XML record template (based on the std-doi.xsd schema) and the individual resources are aggregated into a single file.

Created: 2009-04-29

Credits: Andrea Wiggins

Attributions: Data Set Metadata Generator

DOI Files (1)

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This workflow generates additional files required for handling DOI creation: the DOI URL mapping required for the DOI deposit, and a set of sql update statements to insert the DOIs into an eprints database. Note that it is extremely important for this workflow to use the same CSV file as was used with the DOI record generator, as well as the same seed number.

Created: 2009-06-05

Credits: Andrea Wiggins

Attributions: DOI Record Generator

Split text/string into its lines and filte... (2)

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When retrieving a URL or soemthing alike, one can often identify the region of interest as a single line. Besides the expected output, also some interim values, like the lines split are forwarded, to allow some straight-forward cascading of filters with reduced redundancy.

Created: 2009-08-19

Credits: Steffen Möller

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

fetch_fasta (1)

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This work flow is designed to take an EMBL file containing the genomic data for an identified bacterium. From this information the workflow can determine whether or not that this strain is an MRSA type of bug. This can be determined based on the MecA profile of the given strain. Blast is utilised to find a relationship with given proteins and that of know S. aureus strains. This phylogenic output is generated from a ClustalW algorithm that plots a phylogenic tree. The output is prese...

Created: 2009-03-20 | Last updated: 2009-03-20

Credits: Jumblejumble

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

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

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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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Pathway Term Enrichment Scores

Created: 2009-08-11 14:23:49

Credits: Paul Fisher

License: Creative Commons Attribution-Share Alike 3.0 Unported License

File type: Plain text

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