Workflows

Pathways and Gene annotations forQTL region (2)

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This workflow searches for genes which reside in a QTL (Quantitative Trait Loci) region in the mouse, Mus musculus. The workflow requires an input of: a chromosome name or number; a QTL start base pair position; QTL end base pair position. Data is then extracted from BioMart to annotate each of the genes found in this region. The Entrez and UniProt identifiers are then sent to KEGG to obtain KEGG gene identifiers. The KEGG gene identifiers are then used to searcg for pathways in the KEGG path...

Created: 2011-11-21 | Last updated: 2011-11-21

Credits: Prashanth

blastn and blastx (1)

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This workflow accepts an url of a fasta file as input and performs an NCBI blastn at the EBI against the bacteria database and an NCBI blastx against the uniref90 database.  From the blast results of the blastx the hit with the lowest e-value is taken and the GO is returned. Output is blastx and blastn results and GO from the first hit of the blastx.   Based on Katy Wolstencroft & Hamish McWilliam EBI_NCBI_BLAST http://www.myexperiment.org/workflows/1765.html

Created: 2011-06-08 | Last updated: 2011-06-08

Credits: Niek

Pathways and Gene annotations for QTL region (1)

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This workflow searches for genes which reside in a QTL (Quantitative Trait Loci) region in rice, Oryza sativa. The workflow requires an input of: a chromosome name or number; a QTL start base pair position; QTL end base pair position. Data is then extracted from BioMart to annotate each of the genes found in this region. The Entrez and UniGene identifiers are then sent to KEGG to obtain KEGG gene identifiers. The KEGG gene identifiers are then used to searcg for pathways in the KEGG pathway d...

Created: 2011-05-27 | Last updated: 2011-05-27

Credits: Paul Fisher

Parsed UniProt to PubMed (1)

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Uses the parsed Uniprot results (see workflow http://www.myexperiment.org/workflows/26.html) to retrieve information from PubMed.

Created: 2011-04-01 | Last updated: 2011-04-01

Credits: Morgan Taschuk

Use UniProt to retrieve InterPro data (1)

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Used parsed Uniprot results (see workflowUsed parsed Uniprot results (see workflow http://www.myexperiment.org/workflows/26.html) to retrieve results about the protein from InterPro.

Created: 2011-04-01

Credits: Morgan Taschuk

UniProt to Gene Ontology (1)

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Used parsed Uniprot results (see workflow http://www.myexperiment.org/workflows/26.html) to retrieve results about the protein from Gene Ontology and outputs it in text format.

Created: 2011-04-01 | Last updated: 2011-04-01

Credits: Morgan Taschuk

Vaccine Targets Workflow (3)

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Comparison of the genome of Bacillus anthracis to closely related strains will allow the discovery of proteins which may be involved in pathogenicity. Based on the biochemical pathways where the protein interacts, vaccines can be designed for these unique proteins. By gaining insight into the biochemical pathways that the unique proteins are involved in, the proteins can also be assessed for potential quality as vaccines. The key components of the vaccine finding system are the following: T...

Created: 2011-03-30 | Last updated: 2011-04-01

Credits: Morgan Taschuk A Team

KEGG Pathways and Additional Information f... (2)

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Takes in a tab-delimited BLAST file and finds additional information about the target proteins from KEGG, Gene Ontology, Interpro and PubMed.

Created: 2011-03-29 | Last updated: 2011-03-30

Credits: Morgan Taschuk

Attributions: extract_uniprot_embl_gi.xml

NCBI Gi to Kegg Pathways (1)

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"This workflow gets a series of information relating to a list of KEGG genes supplied to it. It also removes any null values from a list of strings."This workflow gets a series of information relating to a list of KEGG genes supplied to it. It also removes any null values from a list of strings.

Created: 2011-03-28 | Last updated: 2011-03-28

Credits: Alibukhari

Drug Re-Purposing Workflow (6)

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The drug repurposing workflow system screens at least 20 bacterial proteomes against this set of proteins that are already being treated against using established drugs. By screening the bacterial proteomes it will be possible to find proteins of highly similar structure to those that are existing drug protein targets and so this will infer that it is highly likely that the drugs can be used as antimicrobials against these proteins of highly similar structure. Proteomes that will be screene...

Created: 2011-03-25 | Last updated: 2011-04-01

Credits: Morgan Taschuk A Team