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User: Eleni
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Blob create nanopublications

Created: 2015-04-03 21:05:56

Credits: User Eleni Network-member BioSemantics

License: Creative Commons Attribution-Share Alike 3.0 Unported License

This ruby script creates nanopublications for the results of the prioritized gene list from pack : http://www.myexperiment.org/packs/486.html 

File type: application/x-ruby

Comments: 0 | Viewed: 15 times | Downloaded: 5 times

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Workflow Prioritize gene list (1)

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This workflow prioritizes a gene list according to its association with the 'concept_id'. In our example here we are prioritizing a gene list to obtain genes that are more closely associated to huntingtin, the cause of huntington's disease

Created: 2015-04-03

Credits: User Eleni Network-member BioSemantics

Uploader

Workflow List Concept Sets (1)

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Pupose: The workflow returns a list of all Concept Set IDs currently available in the database. The Concept Sets have an hierarchical structure that can be inferred by referring to the parent Concept Set ID.

Created: 2015-04-03

Credits: User Eleni Network-member BioSemantics

Uploader

Workflow Explain score between two concepts (1)

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Purpose of workflow: This workflow takes two ids as input and returns the top ranking "B" concepts according to Swanson's ABC model of discovery, where the relationships AB and BC are known and reported in the literature, and the implicit relationship AC is a putative new discovery. It might also be the case that AC is already known. In that case AC does not represent a new discovery but will still be returned (see workflow example values). The B concepts are returned sorted on the percentage...

Created: 2015-04-03

Credits: User Eleni Network-member BioSemantics

Creator

Pack Supporting material for Mina et al., Journal of Biom...


Created: 2014-05-31 12:25:42 | Last updated: 2017-04-19 10:38:13

This pack contains the link to the AllegroGraph triple store and the SPARQL endpoint for  the nanopublications presented in this paper.  The user can login with username: test and password: tester

2 items in this pack

Comments: 0 | Viewed: 54 times | Downloaded: 15 times

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Workflow Map genes to chromosomal location for T2WEB (1)

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This workflow maps a gene list on the genome using the biomart service. IMPORTANT NOTE: Keep in mind that for uploading files on t2web, you need to wait few minutes before executing the workflow. That's essential because the file needs first to be uploaded on the server.

Created: 2013-11-04

Credits: User Eleni

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Workflow get promoter region + operate on genomic i... (1)

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Finds the overlap between two datasets which contain genomic information (e.g. [gene id], chromosome name, gene start, gene end), plus some statistics. Returns rows of file_1 which overlap with the second file. A kolmogorov smirnov test is applied between the list that overlaps and the one that does not. NOTE: The library(GenomicRanges) is a prerequisite for this workflow

Created: 2013-11-04

Credits: User Eleni

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Workflow Map genes to chromosomal location (1)

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This workflow maps a gene list to the genome using the biomart service, and afterwards computes a promoter region for each gene. The user needs to define the promoter region to be computed. The direction that a gene is transcribed is being taken into account in the "compute_promoter_region_with_strand" component. The variable "strand" is responsible for that. NOTE: The library(biomaRt) is a prerequisite for this workflow

Created: 2013-11-04

Credits: User Eleni

Uploader

Workflow Get differentially expressed genes for Arr... (1)

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****IMPORTANT****:if libraries: library(ArrayExpress), library(hgu133b.db), library(limma) are not installed in the local R installation, then they need to be installed before running this workflow. Original data come from Hodges et. al 2006 "Regional and cellular gene expression changes in human Huntington’s disease brain" This workflow loads the two necessary files (gene expression data & phenotype data), and creates the expression set object to be used by the R package limma, to test for ...

Created: 2013-11-04

Credits: User Eleni

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Workflow Get differentially expressed genes for Arr... (1)

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****IMPORTANT****:if libraries: library(ArrayExpress), library(hgu133a.db), library(limma) are not installed in the local R installation, then they need to be installed before running this workflow. Original data come from Hodges et. al 2006 "Regional and cellular gene expression changes in human Huntington’s disease brain" This workflow loads the two necessary files (gene expression data & phenotype data), and creates the expression set object to be used by the R package limma, to test for ...

Created: 2013-11-04

Credits: User Eleni

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