Workflows

gallery001 (1)

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Created: 2015-05-25

Credits: Robert Muetzelfeldt

compare_pubmed_results_geographically (1)

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This workflow analyzes the scientific output, as documented by PubMed, geographically. The workflow takes as input the PubMed data in XML and the ISO 3166-1 and ISO 3166-3 country lists. The XML file can contain any subset from a specific PubMed search. The XPath components extract author affiliations, and feed these to a series of Beanshell components that match these with countries in the ISO standard. This data is then fed to an Rshell using the rworldmap R package to map the affiliation ...

Created: 2015-05-05 | Last updated: 2015-05-05

Credits: Magnus Palmblad Arzu Tugce Guler Bibliometrics and Scientometrics

Attributions: ISO 3166-1 and ISO 3166-3 Former countries

Using Graph Kernels for Feature Generation... (1)

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This example shows how to use graph kernels for feature generation.In this example we use the Root RDF Walk Count Kernel, and the Fast RDF WL Sub Tree Kernel.The input data for the process can be found here.More information about the process can be found here.

Created: 2015-05-04 | Last updated: 2015-05-04

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

Answer to biostar https://www.biostars.org... (1)

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My answer to https://www.biostars.org/p/138848/ Question: How to replace a set of sequence ID's with another set of sequence ID's ?? Let us consider I have a file (Notepad or MS-doc) having 10 sequences with ID's A, B, C, D, E, F, G, H, I, J. I want to replace the ID's with K, L, M, N, O ,P, Q, R, S, T i.e., A to re replaced with K, B to be replaced with M and so on. How can I do this? I am a Biologist who have newly started analyzing Large data's and having this prob...

Created: 2015-04-20 | Last updated: 2015-04-20

Credits: PL

All-vs-All blastP commands (1)

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Creates all the necessary command-line commands to execute all-vs-all blastP from the given FASTA files. Includes making the necessary database. Does not execute the commands.  For OSX and UNIX/Linux only (due to path separator).

Created: 2015-04-17

Credits: Aurora Cain

Species of top BLAST hits (1)

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Galaxy workflow for counting species of top BLAST hits.This is an example workflow using the Galaxy wrappers for NCBI BLAST+, see https://github.com/peterjc/galaxy_blast and http://dx.doi.org/10.1101/014043This Galaxy workflow (file blast_top_hit_species.ga) is intended for an initial assessment of a transcriptome assembly to give a crude indication of any major contamination present based on the species of the top BLAST hit of 1000 representative sequences.Development of this workflow is und...

Created: 2015-04-08 | Last updated: 2015-04-08

Credits: Peter Cock

example if-the-else (1)

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Created: 2015-04-08

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

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