Workflows

LASCO_CME_QUERY (2)

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This workflows queries the LASCO CME list and returns a VOTable with the following fields pa, pa_width, v_final and v_diff which is abs(v_init-v_final)/2

Created: 2012-09-06 | Last updated: 2012-09-06

Credits: Baptiste Cecconi

Attributions: Extract content of columns from VOTables

Get SecchiRH composites images (1)

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 This workflow extracts the composite image from the http://secchirh.obspm.fr survey page.

Created: 2012-09-06 | Last updated: 2012-09-06

Credits: Baptiste Cecconi

LASCO_CME_QUERY (1)

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This workflows queries the LASCO CME list and returns a VOTable with the following fields pa, pa_width, v_final and v_diff which is abs(v_init-v_final)/2

Created: 2012-09-05

Credits: Gab Eoincar Anja Le Blanc

SNP Workflow (1)

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This workflow extracts information about the position of SNPs and the genes they are associated with

Created: 2012-09-05

Credits: Vishalkpp

SNP Workflow (1)

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This workflow extracts information about the position of SNPs and the genes they are associated with

Created: 2012-09-05

Credits: Aishualex

[untitled] (1)

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complete part one of assignment

Created: 2012-09-05 | Last updated: 2012-09-05

Credits: Mcasfrox

READ_MULTI_FASTA_FILE (1)

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Read multi fasta file and split into a list of fasta sequences

Created: 2012-09-04 | Last updated: 2012-09-04

Credits: Mcasfrox

RCOMM 2012 Sudoku Challenge: 4 - Solve Sudoku (1)

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Process from the http://rcomm2012.org live data mining challenge. The task was to partially solve a Sudoku puzzle by solving three subtasks. Processes 1-3 in this pack are the actual solutions to the tasks, process 0 loads the required data into your repository and process 4 is the bonus that solves the entire puzzle. Finally, this process solves the entire Sudoku. It uses process 3 to add inferred cell values to the set of predefined values. It does so repeatedly until 81 values are defined...

Created: 2012-09-04

RCOMM 2012 Sudoku Challenge: 3 - Drop impo... (1)

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Process from the http://rcomm2012.org live data mining challenge. The task was to partially solve a Sudoku puzzle by solving three subtasks. Processes 1-3 in this pack are the actual solutions to the tasks, process 0 loads the required data into your repository and process 4 is the bonus that solves the entire puzzle. IMPORTANT: Save this process as "RCOMM 2012 Sudoku Challenge: 3 - Drop impossible values (loop)" since it is included from process 4. This process uses process 2 repeatedly to ...

Created: 2012-09-04

RCOMM 2012 Sudoku Challenge: 2 - Drop impo... (1)

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Process from the http://rcomm2012.org live data mining challenge. The task was to partially solve a Sudoku puzzle by solving three subtasks. Processes 1-3 in this pack are the actual solutions to the tasks, process 0 loads the required data into your repository and process 4 is the bonus that solves the entire puzzle. IMPORTANT: Save this process as "RCOMM 2012 Sudoku Challenge: 2 - Drop impossible values" since it is included from process 3. This process eliminates impossible rows from the...

Created: 2012-09-04

RCOMM 2012 Sudoku Challenge: 1 - Generate ... (1)

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Process from the http://rcomm2012.org live data mining challenge. The task was to partially solve a Sudoku puzzle by solving three subtasks. Processes 1-3 in this pack are the actual solutions to the tasks, process 0 loads the required data into your repository and process 4 is the bonus that solves the entire puzzle. This process loads the numbers 1..9 and uses two Cartesian Product operators to compute the set of all combinations x, y, v. Finally we compute the index of the 3x3 sub-field a...

Created: 2012-09-04

RCOMM 2012 Sudoku Challenge: 0 - Get Data (1)

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Process from the http://rcomm2012.org live data mining challenge. The task was to partially solve a Sudoku puzzle by solving three subtasks. Processes 1-3 in this pack are the solutions to the actual tasks, process 0 loads the required data into your repository and process 4 is the bonus that solves the entire puzzle. This process loads the two required data sets from rapid-i.com and stores them in your repository. The first data set contains the numbers 1 to 9 and the second contains the pr...

Created: 2012-09-04

Associate Active Regions and Filaments to ... (1)

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This workflow is querying the HEC for the fastest 100 CME of a given list (input parameter); it calculates the latitude from the postion angle; last step is to query the HFC for Active Regions and Filaments for the given time where the bounding box of the feature contains the longitude (feature must be on the correct side of the Sun.) Inputs: HEC list name (must contain fields: v, time_start, pa_width, pa) Outputs: v, time_start, pa_width, pa of the 100 fastest CME, VOTables for associated A...

Created: 2012-09-03

Credits: Anja Le Blanc

Retention Time Prediction with X!Tandem (1)

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This workflow identifies peptides from tandem mass spectra using X!Tandem as in a standard installation of the Trans-Proteomic Pipeline (TPP, version 4.6, but earlier versions should also work). The peptide-spectrum matches are validates using PeptideProphet (also from a standard installation of TPP) and peptides with at least a probability 0.95 are used to train a linear retention time predictor (Palmblad et al., 2002), whereby retention coefficients are also derived. These indirectly provid...

Created: 2012-09-03 | Last updated: 2012-09-03

Credits: Magnus Palmblad Yassene Eleni

Attributions: rt3.c

Get completion function V / Vm using the a... (1)

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Get completion function V / Vm using the apparent magnitude list of a set of galaxies

Created: 2012-09-03 | Last updated: 2012-09-03

Credits: Julian Garrido

NCBI Protein Clustal Omega Alignment (1)

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Searches NCBI Proteins for a given organism and protein. User VMatch (xmknr) Vmatch, a versatile software tool for efficiently solving large scale sequence matching tasks to remove possible dubplcate and clustal omega to generate a multiple sequence alignment. Clustal Omega is the latest addition to the Clustal family. It offers a significant increase in scalability over previous versions, allowing hundreds of thousands of sequences to be aligned in only a few hours. It will also make u...

Created: 2012-08-31

Credits: Carol Lushbough

Cocatenates several VOTables into one (3)

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Snippet showing how to use AstroTaverna tool for concatenating several VOTables. The input is four VOTables with the same number of columns. The result if using sample values provided will be a four times vertically duplicated VOTable.

Created: 2012-08-30 | Last updated: 2013-04-22

Credits: Julian Garrido

Build plots from galfit and ellipse results (2)

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Build plots from galfit and ellipse results (http://www.myexperiment.org/workflows/3068.html, http://www.myexperiment.org/workflows/3052.html).

Created: 2012-08-30 | Last updated: 2012-09-07

Credits: Julian Garrido

Add columns to a votable resulting from ex... (1)

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Addcolumns that are needed to run galfit and ellipse. it requires columns coming from sextractor and the astrotaverna plugin.

Created: 2012-08-30

Credits: Julian Garrido

Sort 1000 fastest CMEs from a given list a... (1)

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The fastest 1000 CME of the input list are bined in categories by factor of 10 according to their pa_width value. List must contain fields v and pa_width. Output VOTable with the counts in the categories.

Created: 2012-08-30 | Last updated: 2012-08-30

Credits: Anja Le Blanc

Write file to S3 bucket (1)

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This workflow simply writes a text file to an AWS S3 bucket. It is provided as an example of how to do this, rather than be a complete, reusable solution. You need to have s3fs installed and configured with your AWS credentials to use this workflow (see http://code.google.com/p/s3fs/).

Created: 2012-08-23

Credits: Robert Haines

Attributions: Read file from S3 bucket

Read file from S3 bucket (1)

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This workflow simply loads a text file that is stored in an AWS S3 bucket. It is provided as an example of how to do this, rather than be a complete, reusable solution. You need to have s3fs installed and configured with your AWS credentials to use this workflow (see http://code.google.com/p/s3fs/).

Created: 2012-08-23

Credits: Robert Haines

Monthly counts for event occurences betwee... (1)

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This workflow provides monthly counts of events in HEC between the beginning of year_start and the end of year_end. Returns the result as comma separated file (csv) and as list of lists.

Created: 2012-08-23

Credits: Anja Le Blanc

Attributions: Counts number of events per month in HEC table Split VOTable into its values

Counts number of events per month in HEC t... (1)

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This workflow counts the monthly number of events in a HEC table from the begining of year year_start to the end of year year_end. Returns a VOTable with the count

Created: 2012-08-22

Credits: Anja Le Blanc

Monthly counts for feature occurences betw... (1)

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This workflow provides monthly counts of features in HFC between the beginning of year_start and the end of year_end. Returns the result as comma separated file (csv) and as list of lists.

Created: 2012-08-22

Credits: Anja Le Blanc

Attributions: Number of recorded features in catalogue per month Split VOTable into its values

Number of recorded features in catalogue p... (1)

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The number of features of the specified catalogue are counted per month between beginning of the year_start und the end of the year_end. Return format is VOTable

Created: 2012-08-22

Credits: Anja Le Blanc

Get a list of proteins annotated with an O... (3)

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A service to look for models in BioModels using an Ontology Id as input. First the workflow will look in QuickGO for UniProt accessions annotated with the provided Ontology Id. Then it will look for models using the list of proteins. If one of the input protein is found in one model the workflow will provide the BioModels Id, the SBML and a link to the BioModels database. Please use taverna 2.4 or above.

Created: 2012-08-22 | Last updated: 2013-07-10

Credits: Rafael C. Jimenez

Get models from BioModels including the in... (3)

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A service to look for models in BioModels using a UniProt accession as input. If the input protein is found in one model the workflow will provide the BioModels Id, the SBML and a link to the BioModels database. Please use taverna 2.4 or above.

Created: 2012-08-22 | Last updated: 2012-08-24

Credits: Rafael C. Jimenez

Number of features in a month in a year (1)

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Returns the number of features in a HFC catalogue which occured in a month in a year given as inputs.

Created: 2012-08-21

Credits: Anja Le Blanc

Create votable from different galfit param... (2)

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The workflow creates a votable from the results provided by galfit. It returns this table and an aditional table that is joined to the input table. It requires a votable that contains a column with the file name resulting from running galfit and such files must be accesible from taverna. It uses astrotaverna plugin (http://wf4ever.github.com/astrotaverna/) and it has a dependency on stil library (http://www.star.bris.ac.uk/~mbt/stil/). The galfit files may come from adjusting 'disk, bulb, ba...

Created: 2012-08-21 | Last updated: 2012-09-07

Credits: Julian Garrido

Create_SNP_Set (1)

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The purpose of the workflow is to determine SNPs in the vicinity of the genes and create a SNP set for a given set of genes. The user has the freedom to choose the flanking width around the gene for determining the SNPs. The input is in the form of entrez gene ids. Biomart services are used to determine the chromosome and position of the gene as well as determining Affy gene chip 6k ids. The final report is stored as a tab-delimited text file with Affy 6 gene chip ids for the SNP and Kegg inf...

Created: 2012-08-21

Credits: Harish Dharuri

Kegg:Reactions Scheme (2)

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The purpose of this workflow is to determine all the enzymes/genes that participate in a radius of 2 reaction steps around a given metabolite. Broadly, the scheme involves the following steps: 1. determine all the reactions that the given metabolite participates in 2. determine all the compounds that participate in these reactions 3. filter certain compounds like H2O, ATP etc to avoid non-specific connections 4. determine all the reactions that the compounds passing through step 3 participate...

Created: 2012-08-20 | Last updated: 2013-08-27

Credits: Harish Dharuri

Check HEC instances for diverging content (2)

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This workflow check all tables in HEC on festung1 and festung3 for diverging content by comparing the last 1000 entries in each table. Output is a list of tabel names with different content.

Created: 2012-08-20 | Last updated: 2012-08-20

Credits: Anja Le Blanc

Hadoop Large Document Collection Data Prep... (1)

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Workflow for preparing large document collections for data analysis. Different types of hadoop jobs (Hadoop-Streaming-API, Hadoop Map/Reduce, and Hive) are used for specific purposes. The *PathCreator components create text files with absolute file paths using the unix command 'find'. The workflow then uses 1) a Hadoop Streaming API component (HadoopStreamingExiftoolRead) based on a bash script for reading image metadata using Exiftool, 2) the Map/Reduce component (HadoopHocrAvBlockWidthMapR...

Created: 2012-08-17 | Last updated: 2012-08-18

Credits: Sven

KEGG:Pathway Scheme (2)

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The purpose of the workflow is to determine all the genes operating in the pathways that the input metabolite participates in. The overall idea is to generate a set of genes that potentially influence the levels of a metabolite due to the common pathways that they share.

Created: 2012-08-14 | Last updated: 2013-08-27

Credits: Harish Dharuri

Gathering info from SDSS into a VOTable to... (4)

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This workflow joins two main nested workflows: - "Extract SDSS field information and PSF" workflow, which gathers information from SDSS VO service and from the header image in several VOtable. It also generates the psf files. - "Joining VOtables with information to execute Sextractor, Galfit and Ellipse" workflow, which joins the VOtables generated by the previous workflow to get only one VOtable with all the information

Created: 2012-08-13 | Last updated: 2013-03-08

Credits: Susana

Joining VOtables with information to execu... (3)

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This workflow join 13 votables, obtained from the workflow "Extract SDSS field information and PSF" in order to get a only one votable with all the information. Also it adds the columns "zp", "magzeropoint", xconvsize, yconvsize that are calculated from values provided in the inputs. The zp is -( aa + kk * airmass ), the magzeropoint is zp + 2.5 * log10(53.907456), the xconvsize is roundUp(nx/10) and the yconvsize is roundUp(ny/10)

Created: 2012-08-13 | Last updated: 2013-03-08

Credits: Susana

Convert a list into a VO Column (2)

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This workflow converts a list of values into a VO table with only one column. It receives two inputs: the list of values and the header name of the column to be built.

Created: 2012-08-13 | Last updated: 2013-03-08

Credits: Susana

Oryza Sativa QTLs and genes retrieval from... (2)

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For a given trait and QTL maximum size, retrieve accession numbers of the QTLs along with their mapping positions in Oryza sativa and retrieve genes present in the mapping genomic interval of a given QTL. Data integration from TropGene, Gramene and Ensembl relational databases. Semi-automatic creation of 7 Semantic Web Services for TropGene and Gramene with BioSemantic Use of BioMart Web Services for Ensembl interrogation

Created: 2012-08-08 | Last updated: 2012-09-28

Credits: Julien wollbrett

Hadoop hOCR parser (1)

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Big data processing: chaining Hadoop jobs using Taverna. This workflow demonstrates a simple way of linking different hadoop job components using the standard output of the hadoop jobs. It is not for thought for productive use, but for demonstration using small data sets. The code for the hadoop jobs is available on Github: tb-lsdr-hocrparser and tb-lsdr-seqfilecreator.

Created: 2012-08-07 | Last updated: 2012-08-07

Credits: Sven

Calculate ellipses that describe a galaxy ... (2)

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This workflow calculates the ellipses that better match a galaxy by doing two iterations. In the first one the center and the outer ellipse are aproximated because there might be bars that affect to the inner ellipses. In the second one, files with the ellipse data are built. It creates ellipse scripts using data from a votable, it runs ellipse, its results are added to the votable, it creates new scripts for ellipse using the previous results, it runs ellipse a second time and it finally in...

Created: 2012-08-07 | Last updated: 2012-09-11

Credits: Julian Garrido

Attributions: Create configuration files from a template and a votable Run scripts from a column in a votable Create votable from ellipse results Detect ellipse failures and get votable without ellipse failures

Create votable from ellipse results (2)

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The workflow takes from a votable the names of files where the ellipse result is stored. These files contain data for several ellipses and the workflow takes the center from the inner ellipse and the ellipticitiy from one of the outter ones. It uses astrotaverna plugin (http://wf4ever.github.com/astrotaverna/).

Created: 2012-08-07 | Last updated: 2012-09-07

Credits: Julian Garrido

Run scripts from a column in a votable (2)

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It runs scripts whose pathname are values of a column in a votable

Created: 2012-08-07 | Last updated: 2012-09-07

Credits: Julian Garrido

Gene_To_Pathways (Vistrails) (1)

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This workflow retrieves the pathways that are associated with given Kegg gene identifiers.

Created: 2012-08-06 | Last updated: 2012-08-08

Credits: Khalid Belhajjame

Gene_To_Pathways (Vistrails) (1)

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This workflow retrieves the pathways that are associated with given Kegg gene identifiers.

Created: 2012-08-06 | Last updated: 2012-08-08

Credits: Khalid Belhajjame

Gene_To_Pathways (Vistrails) (1)

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This workflow retrieves the pathways that are associated with given Kegg gene identifiers.

Created: 2012-08-06 | Last updated: 2012-08-08

Credits: Khalid Belhajjame

Gene_To_Pathways (1)

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 This workflow identifier the pathways that are associated with given Kegg gene identifiers. Example inputs that can be used to run the workflow are eco:b0002, eco:b0078

Created: 2012-08-06 | Last updated: 2012-09-07

Credits: Khalid Belhajjame Stian Soiland-Reyes

Attributions: Hello Anyone

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

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 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 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

Plasma Precipitation Analysis (1)

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ABOUT THE WORKFLOW This workflow was used to analyze the data in a manuscript by Mostovenko et al. (2012, submitted), comparing proteins in the precipitate with those left in solution after organic solvent precipitation. However, the workflow is generally applicable in comparisons of any binary fractionation method in proteomics, where the fractions are analyzed by liquid chromatography-tandem mass spectrometry. The workflow identifies proteins by SpectraST spectral library search and X!Ta...

Created: 2012-07-31 | Last updated: 2012-07-31

Credits: Magnus Palmblad Kate Mostovenko Yassene

Find Duplicates using Matchbox command lin... (1)

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The workflow takes a list of digital documents as input, extracts SIFT features using image processing algorithms, creates dictionary of visual words, generates BoW (Bag of Words) histogramms and finds duplicates. The count of parallel threads can be passed as a parameter. Finally search results are stored in a text file that contains a list of possible duplicates with associated similarity score. This score values are spread between 0 (low similarity) and 1 (high similarity). Image compariso...

Created: 2012-07-31 | Last updated: 2012-07-31

Credits: Roman

Genome variant to Protein change (1)

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Reports protein change, given a genomic variant, using mutalyzer

Created: 2012-07-27 | Last updated: 2012-10-29

Credits: Helen Hulme

Extract SDSS field information and PSF (5)

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This workflow gathers information needed by the execution of Sextractor, Galfit and Ellipse, from the SDSS VO service. It receives two inputs: 1) An ascii table with information about the image such as data of the field, name of the fits file or if it is barred or not. 2) A configuration file with the paths where the files needed by the workflow can be found and other paths where to store the files generated by the workflow This workflow extracts the band from the image header, and the info...

Created: 2012-07-26 | Last updated: 2012-09-07

Credits: Susana

Check the content of the Registry for mism... (1)

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This workflow check for tables which are registered in the HELIO registry but not available in the HFC and for tables which are in the UOC but which are not registred.

Created: 2012-07-26

Credits: Anja Le Blanc

Adjusting galaxy parameters using galfit (4)

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This workflow creates galfit configuration files using data from a votable, it runs galfit, its results is added to the votable, it creates new config files for galfit using the previous results, it runs galfit a second time considering galaxies that have and do not have bars in order to adjust the objective parameters and it finally includes the results into the votable. It requires the specification of the columns that contain file names (these files should be accesibles from taverna). If t...

Created: 2012-07-26 | Last updated: 2012-09-07

Credits: Julian Garrido

Attributions: Create configuration files from a template and a votable Run galfit using a votable Create votable from galfit results Create votable from different galfit paramenter adjustments Create galfit configuration files with partition criteria using votable

Create galfit configuration files with par... (1)

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This workflow creates galfit configuration files using a partition criteria. The resulting configuration files are different depending on whether the galaxy has o doesn't have a bar. They are created (one for every row in the votable) using a template whose keys are replaced by data from a votable. Keys must appear also in the vocabulary file and match column names in the votable. A column in the votable must contain the name of the result configuration file. This workflow uses astrotaverna ...

Created: 2012-07-26 | Last updated: 2012-07-26

Credits: Julian Garrido

Create votable from galfit results (4)

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The workflow creates a votable from the results provided by galfit. It returns this table and an aditional table that is joined to the input table. It requires a votable that contains a column with the file name resulting from running galfit and such files must be accesible from taverna. It uses astrotaverna plugin (http://wf4ever.github.com/astrotaverna/) and it has a dependency on stil library (http://www.star.bris.ac.uk/~mbt/stil/).

Created: 2012-07-26 | Last updated: 2012-09-07

Credits: Julian Garrido

Run galfit using a votable (2)

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It runs galfit and adjust the paramenters specified. This workflow has a dependency on the stil library (http://www.star.bris.ac.uk/~mbt/stil/). Galfit is called by a bash script as 'galfit'. Galfit is called for every row in the votable. Columns where the result file name and the configuration file name are defined must be especified. These files should be accesibles from taverna. ExperimentFolder provides the root folder for the experiment. If the configuration files contain references to o...

Created: 2012-07-26 | Last updated: 2012-09-07

Credits: Julian Garrido

Ajusting galaxy paramenters using sextractor (5)

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This workflow creates configuration files for sextractor, it runs sextractor using this configuration files, it adds sextractor results to the input votable and adds new calculated columns. This task requires a votable as input, a template, a vocabulary and the specification of the column names that contain some required files (configuration files, image files, ...). These files must be accesible from taverna. Sextractor is called by an bash script as 'sex'. Every row in the votable cotains ...

Created: 2012-07-26 | Last updated: 2012-09-07

Credits: Julian Garrido

Attributions: Create configuration files from a template and a votable Run sextractor using a votable Create votable from sextractor results Add columns to a votable resulting from executing sextractor.

Create votable from sextractor results (2)

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The workflow creates a votable from the results provided by sextractor (votables). It returns this table and an aditional table that is joined to the input table. It requires a votable that contains a column with the file name resulting from running sextractor and such files accesible from taverna. It uses astrotaverna plugin (http://wf4ever.github.com/astrotaverna/).

Created: 2012-07-26 | Last updated: 2012-08-21

Credits: Julian Garrido

Run sextractor using a votable (2)

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It runs sextractor and adjust the paramenters specified. This workflow has a dependency on the stil library (http://www.star.bris.ac.uk/~mbt/stil/). Sextractor is called by an bash script as 'sex'. Sextractor is called for every row in the votable. Columns where the configuration file and the image file name are defined must be especified. These files should be accesibles from taverna. ExperimentFolder provides the root folder for the experiment. If the configuration files contain refer...

Created: 2012-07-26 | Last updated: 2012-09-07

Credits: Julian Garrido

13C NMR spectra prediction (2)

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This workflow can be used to predict the 13C NMR spectra of a molecule. The generation of the structure of the molecule is done using the IUPAC to Structure node that uses OPSIN to convert the name of the molecule to a structure. Alternativelly, one can read the structure from a file. The spectra prediction is based on the NMRShiftDB implementation and the data used is also from NMRShiftDB. The atom topological environments were represented as Atom Signatures and used to calculate the checmia...

Created: 2012-07-26 | Last updated: 2012-08-10

Credits: Ldpf

Create configuration files from a template... (1)

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This workflow uses astrotaverna artifacts. It creates files by using a template whose keys are replaced by data from a votable. A configuration file is created for every row in the votable. The keys must appear also in the vocabulary file and match column names in the votable. A column in the votable must contain the name of the result configuration file.

Created: 2012-07-26 | Last updated: 2012-09-04

Credits: Julian Garrido

Check the content of the Registry for mism... (1)

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This workflow check for tables which are registered in the HELIO registry but not available in the UOC and for tables which are in the UOC but which are not registred.

Created: 2012-07-25

Credits: Anja Le Blanc

Check registry for wrongly registed and un... (2)

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HELIO registry contains a list of tables available in the HEC. The HEC contains a table with available talbes itself. This workflow shows the differences between these two lists.

Created: 2012-07-24 | Last updated: 2012-07-24

Credits: Anja Le Blanc

RTTS Mapper (1)

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Generates RTTS counts file from SAM file. Output consists of three columns: counts at given position;chromosome;position(0 based). Workflow removes untemplated nucleotides from 5' ends of the reads. Authors: Jeppe Vinther, Lukasz Kielpinski Workflow published by lukaszkielpinski on Galaxy Jun 26, 2012 imported to myExperiment Jul 17, 2012 during demonstration of Galaxy-myExperiment integration (specifically generating SVG and showing steps of more complex workflow).

Created: 2012-07-17 | Last updated: 2012-07-17

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

Basic Illumina Reads Quality (Functional G... (1)

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From the RNA-Seq analysis tutorial during the Functional Genomics Workshop 2012 https://caps.osu.edu/pfg-workshop Workflow published by mejia-guerra on Galaxy Jun 22, 2012 imported to myExperiment Jul16, 2012 during demonstration of Galaxy-myExperiment integration

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

Basic RNA-Seq Analysis - Differential Expr... (1)

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From the RNA-Seq analysis tutorial during the Functional Genomics Workshop 2012 https://caps.osu.edu/pfg-workshop Workflow published by mejia-guerra on Galaxy Jun 22, 2012 imported to myExperiment Jul16, 2012 during demonstration of Galaxy-myExperiment integration  

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

AnnotationTimes (1)

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This very simple workflow was used in the analysis of the metadata produced by the human annotation phase of the SALAMI (Strucural Analysis of Large Amounts of Music Inforamtion) project.  The input data is the metadata available from http://ddmal.music.mcgill.ca/salami/annotations It produces a histogram of song durations and scatterplot of combined annotation time verus song duration. The fields are   SONG_ID                   Un...

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

Example of how to use Sesame service and V... (1)

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This workflow needs as input a list of names of galaxies. Then it queries Sesame services to get the coordinates of this galaxies, and finally with this coordinates queries a Virtual Observatory Services (a cone service).

Created: 2012-07-14

Gene to Pathways (Vistrails) (1)

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This is a Vistrails workflow that returns the pathways of a given gene ID. In doing so, it uses two kegg services.

Created: 2012-07-10

Credits: Khalid Belhajjame

Gene to Pathways (1)

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This is a Taverna workflow that given a gene ID fetches the corespondondings pathways. To do so, the workflow make use of two KEGG web services.

Created: 2012-07-09 | Last updated: 2012-07-10

Credits: Khalid Belhajjame

List Concept Sets (3)

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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: 2012-07-06 | Last updated: 2014-07-14

Credits: Kristina Hettne Marco Roos Reinout van Schouwen Martijn Schuemie BioSemantics

Get concept information (5)

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The workflow takes a (list of) concept ID(s) as input and returns the profile, ID, definition and name of the concept.

Created: 2012-07-06 | Last updated: 2014-07-14

Credits: Kristina Hettne Reinout van Schouwen Marco Roos Martijn Schuemie BioSemantics

Get Concept IDs (5)

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Purpose: The workflow retrieves the concepts within a concept set. The Web service/workflow currently returns no values (bug).

Created: 2012-07-06 | Last updated: 2014-07-14

Credits: Kristina Hettne Reinout van Schouwen Martijn Schuemie Marco Roos BioSemantics

Task Data Pattern (BeanShell) (1)

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This is a sample implementation of "Task Data" pattern intoduced workflowPatterns.com It defines a variable inside a Beanshell and uses the passed value through the processors input. Details: http://www.workflowpatterns.com/patterns/data/visibility/wdp1.php

Created: 2012-07-06

Get all applications available on the HPS (1)

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This workflow requests all available applications on the HPS which do not require authentication to run. No inputs. Outputs contain all information to execute the application on the HPS such as the ID of the application and the names of all parameters.

Created: 2012-07-03

Credits: Anja Le Blanc

VOTable of NED Images from a List of Objects (1)

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Extraction of metadata using NED Image Virtual Observatory Service into a single VOTable, providing a list of objects and the width for each field in arcmin. Among the most relevant metadata are the URL link to the FITS images. This Wf makes use of a Tool developed as an internal pyhton script file.

Created: 2012-07-01 | Last updated: 2012-07-01

Credits: Jose Enrique Ruiz

Attributions: Astronomical object name to equatorial coordinates Resolver

Astronomical object name to equatorial coo... (1)

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 Resolve equatorial coordinates of a list of objects (names) with AstroTaverna plugin

Created: 2012-06-30 | Last updated: 2012-07-01

Credits: Jose Enrique Ruiz

Simple executable plan example (1)

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A simple executable plan containing a migration action component and a QA component. The migration action uses imagemagick convert. The QA component consists of two characterisation components (fits) and another QA components (imagemagick compare).

Created: 2012-06-29

Credits: Markus Plangg

VOTables from NED Web Services (1)

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Extraction of a sample of VOTables from all the NED Web Services present in paper 2007ASPC..382..165M Web-based Tools - NED VO Services (Mazzarella, J. M.; NED Team). The National Virtual Observatory: Tools and Techniques for Astronomical Research. ASP Conference Series, Vol. 382. Edited by M.J. Graham, M.J. Fitzpatrick, and T.A. McGlynn. San Francisco: Astronomical Society of the Pacific, 2007., p.165

Created: 2012-06-28 | Last updated: 2013-04-12

Credits: Jose Enrique Ruiz

SNP_ID2EntrezGene_ID (4)

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Purpose: The workflow maps a SNP (dbSNP id) to a gene (EntrezGene id). Author comments: The window for gene inclusion can be set using the set_width parameter. This workflow can be used together with other workflows in this pack: http://www.myexperiment.org/packs/282 for functional gene and SNP annotation and knowledge discovery.

Created: 2012-06-26 | Last updated: 2013-03-11

Credits: Kristina Hettne Harish Dharuri

Online update recommendation web service V2 (1)

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 After some arbitrary number of recommendations to specific users, system has to update recommendations in item recommendation table. This is accomplished by calling the online update recommendation web service, which updates the recommendation model in RapidAnalytics repository and updates the recommendations for specific users in item recommendation table.

Created: 2012-06-20 | Last updated: 2012-06-20

Offline update recommendation web service V2 (1)

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  Periodically we have to do a full re-training on whole train set by the offline update recommendation web service.

Created: 2012-06-20 | Last updated: 2012-06-20

Gene enhancer region analysis (1)

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 This Galaxy pipeline searches for transciption factor binding sites which are conserved through to Fugu. It then finds genes associated with these enhancer binding sites. See http://screencast.g2.bx.psu.edu/MAF_manipulation for the screencast that describes how this workflow is developed.

Created: 2012-06-14 | Last updated: 2012-07-06

Advanced FastQ manipulation (1)

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 This Galaxy workflow performs advanced FastQ manipulation as demonstrated by the screencast at http://screencast.g2.bx.psu.edu/quickie_14_fastq_adv/flow.html. Given a FastQ set of data, it will be transformed using the tools, Groomer, Filter FastQ, FastQ Trimmer, Manipulate FastQ before it is finally converted into FASTA format.

Created: 2012-06-14 | Last updated: 2012-06-14

Perform QC on FastQ data (1)

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 This Galaxy pipeline performs quality control analyses on FastQ data. A report is generated which provides various measures of the quality of the sequence reads.

Created: 2012-06-14 | Last updated: 2012-06-14

Gaussian Blur (1)

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Convolves the image with a Gaussian kernel wherein the Gaussian has a standard deviation specified by the user ("sigma") and the kernel width in each dimension is 6 times the standard deviation of the Gaussian. You can find more details here

Created: 2012-06-13 | Last updated: 2012-06-13

galaxy_101 (2)

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  This is a Galaxy pipeline written using the Galaxy 101 tutorial (https://main.g2.bx.psu.edu/galaxy101). The pipeline involves retrieving genome and SNP data from UCSC for a particular chromosome. These data are integrated in order to find exons with the highest number of SNPs.

Created: 2012-06-13 | Last updated: 2012-06-14

Credits: Peter Li

Image Characterisation - Fits (Extended) (1)

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Extracts metadata from images.

Created: 2012-06-06 | Last updated: 2012-06-06

Credits: Markus Plangg

TextualAttributeExtraction for Recommender... (1)

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This workflow takes conent data from VideoLectures.Net Recommender System Challenge and extractes word-vectors for each lecture. Latent semantic analysis with Singular Value Decomposition is done on item-word binary matrix. The last step is the binomializaiton of dataset.

Created: 2012-06-03

Evaluating semantic kernel with k-NN class... (1)

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This workflow uses k-NN classifier to evaluate quality of EL++ Convolution Kernel [1]. As a dataset one of the examples from DL-Learner project [2] is used. After preparing knowledge base with "Build Knowledge Base", the item to item distance matrix is computed with "Calculate Gram/Distance Matrix". Such a matrix is then used as an input to 10-fold cross-validation with k-NN as an classifier and average result is delivered. [1] L. Józefowski, A. Lawrynowicz, J...

Created: 2012-05-30 | Last updated: 2012-06-07

Semantic clustering with k-Medoids and ALC... (1)

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 This workflow loads data from a configuration file for DL-Learner (http://dl-learner.org) and uses ALCN Semantic Kernel [1] to cluster those data with k-Medoids algorithm. [1] N. Fanizzi, C. d’Amato, F. Esposito. Learning with Kernels in Description Logics. ILP 2008  

Created: 2012-05-30 | Last updated: 2012-06-07

Clustering data from DBpedia using AHC (1)

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 This workflow uses Aglomerative Hierarchical Clustering algorithm to build hierarchy of clusters on data downloaded from DBpedia, the semantic version of Wikipedia. RDF data are downloaded from SPARQL endpoint and merged with DBpedia ontology by "Build Knowledge Base". Set of items to cluster is selected with "SPARQL Selector" and later they are clustered by "Agglomerative Hierarchical Clustering" with distance measure induced by the Bloehdorn Kernel [1]. ...

Created: 2012-05-30 | Last updated: 2012-06-07

Anatomical Atlas Generation (1)

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Computes an anatomical atlas based on a set of patient images using registration methods. This workflow is automatic and does not require user interaction. The anatomical atlas is composed of a mean image and the set of transformations for each patient's between the mean image and the patient image. The atlas can be used to segment the mean image once and propagate the segmentation results to each patient image automatically. This workflow has been tested using GIMIAS-1.5 (open source) with ...

Created: 2012-05-29 | Last updated: 2012-05-29

Credits: Gimias

Convert table to CDS format (1)

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It converts a csv file (comma separated values) to the CDS format. It also provides relevant information to create the ReadMe file. The first row in the input file must be the column names. If you want to run this workflow, you have to install astrotaverna plugin. You can easyly cusomize the workflow to provide a votable or fits table as input.

Created: 2012-05-28 | Last updated: 2012-05-28

Credits: Julian Garrido

Get data and images for a date +/- 12 hour... (1)

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From the date as input date +/- 12 hours of data from the MLSO web page is collated. Images for up to three images (closest to date; -1; +1) are created via autoplot

Created: 2012-05-24 | Last updated: 2012-05-24

Credits: Anja Le Blanc