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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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PubMed Abstract Number

Created: 2009-08-11 13:54:45

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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Bilateral Perisylvian Polymicrogyria

Created: 2011-03-17 10:56:15 | Last updated: 2011-03-17 11:16:53

Credits: Paul Fisher

Attributions: Pathway and Gene to Pubmed Pathways and Gene annotations forQTL region

License: Creative Commons Attribution-Share Alike 3.0 Unported License

File type: ZIP archive

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National Centre for Text Mining (NaCTeM)

Unique name: nactem
Created: Monday 19 May 2008 16:56:09 (UTC)

1 shared item   |   0 announcements

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BioSemantics

Unique name: biosemantics
Created: Thursday 30 June 2011 13:06:48 (UTC)

70 shared items   |   0 announcements

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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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Concept profile analysis using Anni Web services

Created: 2013-02-06 19:11:26 | Last updated: 2014-07-15 08:17:33

11 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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Genotype-phenotype knowledge discovery using the Con...

Created: 2015-04-07 18:38:40 | Last updated: 2015-04-07 18:44:49

5 items in this pack

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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_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

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_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

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)

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

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

dreseden-term-extraction1 (1)

No description

Created: 2007-11-22

Credits: Simon Jupp

microRNA to KEGG Pathways and Abstracts (1)

Workflow takes in a text file of microRNAs from microCOSM (at the EBI) and outputs a list of KEGG pathway information, including genes in pathways and pathway abstracts from PubMed. The results can then be used in various text mining applications/workflows to rank the results against a given disease.Workflow takes in a file of microRNAs

Created: 2010-03-17

Credits: Paul Fisher

Attributions: Pathways and Gene annotations for QTL region

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

Connect to twitter and analyze the key words (1)

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Hi All, This workflow connects RapidMiner to Twitter and downloads the timeline. It then creates a wordlist from the tweets and breaks them into key words that are mentioned in the tweets. You can then visualize the key words mentioned in the tweets. This workflow can be further modified to review various key events that have been talked about in the twitterland. Do let me know your feedback and feel free to ask me any questions that you may have. Shaily web: http://advanced-analyti...

Created: 2010-07-26 | Last updated: 2010-07-26

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

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

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

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

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

Content based recommender system template (1)

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As an input, this workflow takes two distinct example sets: a complete set of items with IDs and appropriate textual attributes (item example set) and a set of IDs of items our user had interaction with (user example set). Also, a macro %{recommendation_no} is defined in the process context, as a required number of outputted recommendations. The first steps of the workflow are to preprocess those example sets; select only textual attributes of item example set, and set ID roles on both of th...

Created: 2011-05-05 | Last updated: 2011-05-09

Credits: Matko Bošnjak Ninoaf

Attributions: Datasets for the pack: RCOMM2011 recommender systems workflow templates

Extract chemical structures from a Beilste... (1)

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 Uses the Oscar4 text mining tool to extract chemical structures from a Beilstein Journal of Organic Chemistry paper and visualizes them in the molecules table. Jericho is used to extract text from the paper's HTML page.

Created: 2011-05-12 | Last updated: 2011-05-12

Credits: Egon Willighagen

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

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

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

Match concept to HPO profiles (1)

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This workflow matches a query concept to the list of Human Phenotypes. The Human Phenotypes are the subset of the Human Phenotype Ontology for which we have a mapped UMLS concept available and a concept profile. HPO-UMLS mapping: Winnenburg, R., & Bodenreider, O. (2014). Coverage of Phenotypes in Standard Terminologies. In Proceedings of the ISMB’2014 SIG meeting “BioLINK.” Retrieved from http://phenoday2014.bio-lark.org/pdf/5.pdf Concept Profile Database: July 2012

Created: 2014-10-20

Credits: Marco Roos BioSemantics

Attributions: Match concept profiles Get concept information

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

Prioritize gene list for the Cure game (1)

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This workflow prioritizes a gene list according to its association with the 'concept_id'. Here we are prioritizing a gene list against breast cancer, in order to try to beat Barney in the game The Cure (http://genegames.org/cure/). Note: Before running this workflow the gene names supplied in the game first needs to be mapped to Entrez gene identifiers. This can be done using either this workflow http://www.myexperiment.org/workflows/3722 or a by performing a search in the NCBI Entrez gene d...

Created: 2015-04-29

Credits: Kristina Hettne Eleni

Attributions: Prioritize gene list

Author to Wordcloud (3)

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This small workflow demonstrates how to connect to and use Europe PMC (http://europepmc.org/RestfulWebService). The workflow searches the publications of an author, extracts the abstracts, counts the word frequencies and plot a wordcloud using the R package of the same name. The Rshell plot_wordcloud also applies text mining operations (transformation to lower case, removing punctuation, stripping whitespace and removing English stopwords) using the R package tm.

Created: 2015-12-02 | Last updated: 2015-12-07

Credits: Magnus Palmblad