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Create nanopublications (1)

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This workflow creates nanopublications for a gene list that is associated to Huntington's Disease

Created: 2015-04-03

Credits: Eleni BioSemantics

Attributions: create nanopublications converter_nanopublications

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converter_nanopublications

Created: 2015-04-03 21:08:40

Credits: Eleni BioSemantics

License: Creative Commons Attribution-Share Alike 3.0 Unported License

File type: application/x-ruby

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create nanopublications

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

Credits: Eleni BioSemantics

License: Creative Commons Attribution-Share Alike 3.0 Unported License

File type: application/x-ruby

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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: Eleni BioSemantics

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: Eleni BioSemantics

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: Eleni BioSemantics

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Multiple selection

Created: 2015-03-31 11:23:55 | Last updated: 2015-03-31 11:37:25

Credits: Alan Williams

License: Creative Commons Attribution-Share Alike 3.0 Unported License

File type: htm

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myExperiment.test

Created: 2015-03-20 19:45:13 | Last updated: 2015-03-20 20:15:02

Credits: Richard Marchese Robinson

License: Creative Commons Attribution-Share Alike 3.0 Unported License

File type: ZIP archive

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Galaxy workflow for the identification of ... (1)

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This approach screens three proteins against a given genome sequence, leading to a genome position were all three genes are located nearby. As usual in Galaxy workflows every parameter, including the proximity distance, can be changed and additional steps can be easily added. For example additional filtering to refine the initial BLAST hits, or inclusion of a third query sequence.https://github.com/bgruening/galaxytools/tree/master/workflows/ncbi_blast_plus/find_three_genes_located_nearby

Created: 2015-03-17

Credits: Björn Grüning

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A Preliminary Study of Ichthyofauna of Kukulugala Fo...

Created: 2015-03-04 15:02:07 | Last updated: 2015-03-04 15:03:52

Credits: HARESCHANDRA JAYANETHTHI

License: Creative Commons Attribution-Share Alike 3.0 Unported License

File type: Adobe PDF

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