Tag Results

Protein_alignment_transmembrane (1)

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Transmembrane domain prediction using EMBOSS tmap with an input sequence alignment of homolouges: Sequence similarity search (SSS) to find homologues Fetch sequences of hits Multiple sequence alignment (MSA) of hit sequences EMBOSS tmap with alignment from 3. Uses the EBI web services: WSFasta (see http://www.ebi.ac.uk/Tools/webservices/services/fasta) WSDbfetch (see http://www.ebi.ac.uk/Tools/webservices/services/dbfetch) WSClustalW2 (see http://www.ebi.ac.uk/Tools/webservices/servic...

Created: 2008-06-01

Credits: Hamish McWilliam

Attributions: EBI_FASTA EBI_ClustalW2 EBI_dbfetch_fetchBatch

EBI_FASTA (1)

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Run a FASTA or SSEARCH sequence similarity search using the EBI's WSFasta service (see http://www.ebi.ac.uk/Tools/webservices/services/fasta). Note: the WSFasta service used by this workflow is deprecated as of 21st September 2010 and should not be used in any new development. This service is will be retired during 2011. EBI's replacement FASTA services (REST or SOAP) should be used instead.  

Created: 2008-05-30 | Last updated: 2010-12-06

Credits: Hamish McWilliam

EBI FASTA with prompts (3)

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Run a FASTA analysis using the EBI’s WSFasta service (see http://www.ebi.ac.uk/Tools/webservices/services/fasta). This workflow wraps the EBI_FASTA workflow to provide a basic user interface which prompts for the required inputs: sequence, database, FASTA program and user e-mail. Other parameters (e.g. matrix, gap penalties, etc.) are allowed to default. Note: the WSFasta service used by this workflow is deprecated as of 21st September 2010 and should not be used in any new developme...

Created: 2008-05-30 | Last updated: 2010-12-06

Credits: Hamish McWilliam

Attributions: EBI_FASTA

Retrieve Protein Sequence and BLAST (1)

Retrieves a protein sequence in Fasta format from Genbank and then performs a BLAST on that sequence

Created: 2007-11-09 | Last updated: 2008-06-05

Credits: Katy Wolstencroft

Biomart Protein Sequence Retrieval (1)

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This workflow queries Biomart to retrieve the Ensembl gene id, protein id, gene name, description and amino acid sequence from the Ensembl Homo sapiens dataset. The user needs to specify a defined chromosomal region i.e. Chromo = 1, Start = 100000000, End = 250000000. This returns all unique entries in FASTA format.

Created: 2009-03-09

Credits: Kieren Lythgow

fetch_fasta (1)

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This work flow is designed to take an EMBL file containing the genomic data for an identified bacterium. From this information the workflow can determine whether or not that this strain is an MRSA type of bug. This can be determined based on the MecA profile of the given strain. Blast is utilised to find a relationship with given proteins and that of know S. aureus strains. This phylogenic output is generated from a ClustalW algorithm that plots a phylogenic tree. The output is prese...

Created: 2009-03-20 | Last updated: 2009-03-20

Credits: Jumblejumble

Example 3 (1)

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Search in the Datenbank SWISS the Sequence 1220173

Created: 2009-10-20

Credits: Ruben

Ex (1)

Ex of exercise

Created: 2009-11-16

Credits: Mventosa

Attributions: EBI_InterProScan for Taverna 2

Compare genome, extract proteins which are... (1)

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  Takes GI number for source (non-pathogenic) and target (pathogneic) genomes, extracts list of all proteins from each genome using GenBank database. Outputs prtoeins in FastA format. Creates database from source proteins using formatdb (locally installed) and blasts (local installed) proteins from target against this database. Extracts protens which are unique (no blast hits) to the target (pathogenic) genome based on eValue set by user. Takes unique proteins from target and blasts aga...

Created: 2010-03-19 | Last updated: 2010-03-19

Credits: Ian Laycock nclteamc

Attributions: fetchEnsemblSeqsAndBlast NCBI Gi to Kegg Pathways color_pathway_by_objects

Retrieve Genome Seqn using gi nos (1)

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Retrieves the genome seqn for both the target and source strains using gi nos

Created: 2010-03-19

Credits: Ian Laycock nclteamc

G-language Genome Analysis Environment - B... (2)

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Given an identifier for genome sequence (by default, genome of Mycoplasma genitalium: refseq:NC_000908) or raw sequence data in FASTA format, this workflow calculates and graphs the following properties using the G-language Genome Analysis Environment: GC skew (gcskew), cumulative GC skew (gcskew_cumulative), GC skew of coding/intergenic/GC3 (genomicskew), GC content with sliding windows (gcwin), replication origin and terminus (find_ori_ter), codon usage table (codon_usage), the Codon Adapta...

Created: 2010-04-05 | Last updated: 2010-04-05

Credits: cory (Kazuki Oshita)

Extract unique proteins from blast results (4)

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The workflow parses uses the tab-delimited BLAST results to determine the unique proteins found in the target genome that have no similarity to the source genome.The workflow parses uses the blast results to determine the unique proteins found in the target genome that have no similairty to the source genome. Using these unique protein ids, and the original target protein fasta file, a fasta file of unique proteins is created.This workflow allows you to configure a BioMart query to fetch sequ...

Created: 2011-03-24 | Last updated: 2011-04-01

Credits: Morgan Taschuk A Team

Attributions: Parse unique proteins from Blast file

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

Compile Protein FASTA from Target to Drug ... (1)

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Uses a tab-delimited file with protein target and drug information (created in Ondex) to compile a protein FASTA file including each target.

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

Credits: Morgan Taschuk Andrewsmeaton

EBI NCBI BLAST Multi FASTA (2)

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This workflow performs multiple sequence similarity searches using the NCBI blast at the EBI. It uses the new EBI services, which are asynchronous and require looping over the nested workflow (Status) until the workflow has finished. Many of the EBI services now work in this way, so you can use this workflow as an example of the invocation pattern and looping configuration. If you want to make a blast search for more than 10 sequences I would recommend you to run the workflow using the comm...

Created: 2011-07-16 | Last updated: 2011-07-16

Credits: Rafael C. Jimenez

KEIO Bioinformatics Web Service - a genera... (2)

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This workflow generates a sequence logo image for a set of amino acid sequences of FOXP2 gene, by downloading the amino acid sequences in Fasta format through Togo Web Service with UniProt identifiers (togoWS, provided by the G-language Genome Analysis Environment SOAP Service), running BLAST web service (runBLAST), retrieving a set of sequences from ID list (togoWS), aligning the sequence with MUSCLE (runMUSCLE), extracting a certain region from the alignment (extractalign, provided by Soapl...

Created: 2010-08-13 | Last updated: 2010-11-19

Credits: cory (Kazuki Oshita)

Transform 'Stitch Gene blocks' FASTA block... (1)

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Converts FASTA blocks to a FASTA file. Workflow published by galaxyproject on Galaxy Jun 27, 2012 imported to myExperiment Jul16, 2012 during demonstration of Galaxy-myExperiment integration  https://main.g2.bx.psu.edu/u/galaxyproject/w/transform-stitch-gene-blocks-fasta-blocks-to-standardized-fasta-file

Created: 2012-07-16 | Last updated: 2012-07-16

de Bruin et al. Workflow 1 (1)

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This is "Workflow 1" from de Bruin et al., Mol. Cell. Proteomics 2012.

Created: 2012-08-01 | Last updated: 2012-08-01

Credits: Magnus Palmblad

de Bruin et al. Workflow 2 (1)

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This is "Workflow 2" from de Bruin et al., Mol. Cell. Proteomics 2012.

Created: 2012-08-01 | Last updated: 2012-08-01

Credits: Magnus Palmblad

de Bruin et al. Workflow 3 (1)

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This is "Workflow 3" from de Bruin et al., Mol. Cell. Proteomics 2012.

Created: 2012-08-01 | Last updated: 2012-08-01

Credits: Magnus Palmblad

de Bruin et al. Workflow 4 (1)

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This is "Workflow 4" from de Bruin et al., Mol. Cell. Proteomics 2012.

Created: 2012-08-01 | Last updated: 2012-08-01

Credits: Magnus Palmblad

Blast_Align_and_Tree (2)

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This workflow accepts a protein sequence as input. This sequence is compared to others in the Uniprot database, using the NCBI BLAST Web Service from the EBI (WSDL), and the top 10 hits are returned (Nested workflow:EBI_NCBI_BLast). For each extracted hit, the Uniprot REST service returns the protein sequence in FASTA format. The workflow concatenates the 10 protein sequences and submits them as input to the EBI CLustalw service (Nested workflow EMBL_EBI_clustalw2_SOAP). These sequences are ...

Created: 2013-01-28 | Last updated: 2013-01-30

Credits: Katy Wolstencroft Hamish McWilliam

Attributions: Protein_search_fetch_align_tree

Analyze any DNA sequence, Fasta (1)

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This workflow is designed to analyze a DNA sequence for potential binding sites. Sequences should be in Fasta format.What is the geneXplain type?The geneXplain platform is an online toolbox for a broad range of bioinformatic and systems biology applications. It is developed by geneXplain GmbH. The technology behind the geneXplain platform is BioUML (www.biouml.org), which has been built, improved and supported for many years at the Institute of Systems Biology in Novosibirsk. The individual w...

Created: 2013-11-13 | Last updated: 2015-04-17

Credits: geneXplain

simple fasta workflow (1)

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workflow using services

Created: 2014-01-22

Credits: Ruth Eberhardt Aleksandra Pawlik

P15409 (1)

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worflow to demostrate how to use Taverna with service anel or catalogue

Created: 2014-01-22

Credits: Lilly Hueber

Visualize PAV provenance as SVG (1)

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VoID descriptions are fetched as Turtle, cleaned up to be valid OWL ontology and include useful labels, processed through the OWL reasoner Pellet; this adds inferred PROV statements to the RDF, which is then fed to the PROV Toolbox, generating an SVG visualization of the provenance. Note that this workflow downloads CWM, Pellet and ProvToolbox on demand, and uses UNIX command line tools like wget and md5 which are unlikely to work in Windows. This workflow has been tested on Ubuntu 12.10 wit...

Created: 2014-05-08

Credits: Katy Wolstencroft Aleksandra Pawlik

Simple FASTA workflow (1)

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A simple Taverna workflo

Created: 2014-01-22

Credits: Aleksandra Pawlik Katy Wolstencroft Alan Williams

Example dbfetch (2)

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Run EBI's dbfetch

Created: 2014-09-03 | Last updated: 2014-09-03

Credits: Stian Soiland-Reyes Katy Wolstencroft

Attributions:

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

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

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