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Pathway Cosine Scores from Day7 and Tir1 QTL

Created: 2009-08-10 15:55:24

Credits: Paul Fisher

License: Creative Commons Attribution-Share Alike 3.0 Unported License

File type: Excel workbook

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Gene Cosine Scores

Created: 2009-08-10 16:00:45

Credits: Paul Fisher

License: Creative Commons Attribution-Share Alike 3.0 Unported License

File type: Excel workbook

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Phenotype Abstracts for Trypanosomiasis Resistance

Created: 2009-08-11 12:45:24

Credits: Paul Fisher

License: Creative Commons Attribution-Share Alike 3.0 Unported License

File type: Plain text

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Phenotype Concept Profile - Terms

Created: 2009-08-11 13:05:07 | Last updated: 2009-08-11 13:06:51

Credits: Paul Fisher

License: Creative Commons Attribution-Share Alike 3.0 Unported License

File type: Plain text

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Phenotype Term Counts (in Phenotype Corpus)

Created: 2009-08-11 13:34:42 | Last updated: 2009-08-11 13:58:28

Credits: Paul Fisher

License: Creative Commons Attribution-Share Alike 3.0 Unported License

File type: Plain text

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Pathway Abstracts for Day7 Microarray Tir1 QTL

Created: 2009-08-11 14:08:41 | Last updated: 2009-08-11 14:15:58

Credits: Paul Fisher

License: Creative Commons Attribution-Share Alike 3.0 Unported License

File type: Plain text

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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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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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Bilateral Perisylvian Polymicrogyria (Epilepsy)

Created: 2010-12-07 16:34:31 | Last updated: 2010-12-07 16:34:37

Credits: Paul Fisher

License: Creative Commons Attribution-Share Alike 3.0 Unported License

File type: application/x-zip-compressed

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Ondex Workflows

Created: 2011-09-01 17:17:57 | Last updated: 2011-09-01 17:18:05

Credits: Paul Fisher

License: Creative Commons Attribution-Share Alike 3.0 Unported License

File type: ZIP archive

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Pathway to Phenotype using Text Mining

Created: 2009-08-10 13:01:47 | Last updated: 2009-08-11 14:51:31

12 items in this pack

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Text Mining Workflows

Created: 2010-12-08 11:55:03 | Last updated: 2011-02-01 11:33:11

5 items in this pack

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Trichuriasis induced Colitis

Created: 2011-02-16 12:49:21 | Last updated: 2011-02-16 15:26:36

5 items in this pack

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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

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

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

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

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

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

Gene to Pubmed (3)

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

Created: 2010-07-05 | Last updated: 2011-01-26

Credits: Paul Fisher

Phenotype to pubmed (3)

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This workflow takes in a phenotype search term, and searches for abstracts in the PubMed database. These are passed to the eSearch function and searched for in PubMed. Those abstracts found are returned to the user

Created: 2010-07-05 | Last updated: 2011-01-11

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

Remove Non-ASCII (1)

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THis workflow removes any non-ascii characters from a segment of text. Any characters that are found are removed. Letters either side f the non-ASCII are concatenated - this may cause the loss of word meaning

Created: 2011-02-03 | Last updated: 2011-02-03

Credits: Paul Fisher

Gene to Pubmed (4)

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

Created: 2011-02-08 | Last updated: 2011-02-10

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

Content based recommender (1)

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This process is a special case of the item to item similarity matrix based recommender where the item to item similarity is calculated as cosine similarity over TF-IDF word vectors obtained from the textual analysis over all the available textual data. The inputs to the process are context defined macros: %{id} defines an item ID for which we would like to obtain recommendation and %{recommender_no} defines the required number of recommendations. The process internally uses an example set of...

Created: 2011-03-15 | Last updated: 2011-03-15

Example for external tools with gzip and g... (1)

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This workflow is self-contained. It has a fixed URL from which a text file is downloaded (output as Original_file). That file is gzipped (output as Compressed_File) and then gunzipped again (output as Decompressed_File). The workflow wraps external tools from taverna.nordugrid.org and needs a beta version of Taverna 2.3 or later.

Created: 2011-05-18 | Last updated: 2011-05-18

Credits: Steffen Möller Alan Williams

Read file from S3 bucket (1)

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This workflow simply loads a text file that is stored in an AWS S3 bucket. It is provided as an example of how to do this, rather than be a complete, reusable solution. You need to have s3fs installed and configured with your AWS credentials to use this workflow (see http://code.google.com/p/s3fs/).

Created: 2012-08-23

Credits: Robert Haines

Write file to S3 bucket (1)

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This workflow simply writes a text file to an AWS S3 bucket. It is provided as an example of how to do this, rather than be a complete, reusable solution. You need to have s3fs installed and configured with your AWS credentials to use this workflow (see http://code.google.com/p/s3fs/).

Created: 2012-08-23

Credits: Robert Haines

Attributions: Read file from S3 bucket

STUDY OF QUANTIFICATION OF IMPURITIES AND ... (1)

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Created: 2012-09-16

Credits: Drkrishnasarmapathy

Text-mining using OSCAR to obtain a list o... (1)

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This service extracts chemical names from text and obtains identifiers for these names. It outputs a HTML string that can be opened in a browser providing a table of information and links to ChemSpider.Known issues - Character limit ~3000 - Unable to produce InChIs or CSID for some names - Error sometimes encountered when a trivial and systematic name for the same compound are used - Some issues with identifiers being recognised but not able to be processedrequires access ...

Created: 2013-04-18

Credits: Michael Smith Mark Borkum

Attributions: InChIToCSID