Workflows

Find asteroids in images from CAHA observa... (1)

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It analyzes images from CAFOS instrument in Calar Alto Observatory. It uses SkyBot catalog in order to identify objects in the Solar System. It includes a double check to avoid objets that are not asteroids (comparing with USNO and 2MASS catalogs). The result is a VOTable of asteroids

Created: 2013-07-17

Credits: Julian Garrido

Attributions:

wf4ever_PDF2TXT2Solr_Database (1)

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This workflow extracts the text of a .pdf file and stores it in a .txt file. Then it stores the .txt file in a Solr database.

Created: 2013-07-24

wf4ever_document_extraction_and_storage (1)

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The workflow uses parts of the existing BioAid workflow by Marco Roos (http://www.myexperiment.org/workflows/74.html) The workflow stores found articles in a Solr database. Make sure that Solr is running in the correct directory (stored in the Solr_directory value).

Created: 2013-07-24 | Last updated: 2013-08-29

PubMed Search and Solr storage (5)

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Based on the work of Fisher: This workflow takes in a search term, are passed to the eSearch function and searched for in PubMed. I extended by removing outputs and text extraction and addded an automatic Solr storage process using a post.jar, specified by the user. Before running this workflow, make sure that a solr server is up and running and the variable attached to the SolrImport process contains the correct path. Dependencies: - Solr

Created: 2013-07-25 | Last updated: 2013-08-26

Credits: Sander van boom

Attributions: PubMed Search

Query EVS by chromosomal position (1)

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The workflow takes a list of chromosomal positions (in the format chr:pos e.g. 2:139574) and returns a selection of data in the Exome Variant Server (http://evs.gs.washington.edu/EVS/).

Created: 2013-07-26 | Last updated: 2013-07-26

Credits: Sirisha Hesketh

ENM Maxent workflow used for optimization (1)

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This workflow was used for the optimization of the Maxent algorithm from the openModeller toolbox (http://openmodeller.sourceforge.net/). The workflow uses 10-fold cross-validation and then calculates the average AUC, which can be used as fitness value during parameter optimization.

Created: 2013-08-09 | Last updated: 2013-09-04

Credits: Sonja Holl Renato De Giovanni

ENM SVM workflow used for optimization (1)

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This workflow was used for the optimization of the SVM algorithm from the openModeller toolbox (http://openmodeller.sourceforge.net). The workflow uses 10-fold cross-validation and then calculates the average AUC, which can be used as fitness value during parameter optimization.

Created: 2013-08-09 | Last updated: 2013-09-04

Credits: Sonja Holl Renato De Giovanni

When do the Fastest type II CME should be ... (2)

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The fastest CME is found from an interval of time, and propagated to Earth, in two steps, first to obtain the Solar wind speed at Earth and then propagated again with a more reasonable CME speed. The output produces Min-Max ETAs for each object in the heliosphere and the plots of the final propagation model. This Workflow was produced as one of the challenges in the HELIO CDAW-IV hosted at TCD

Created: 2012-10-21 | Last updated: 2013-03-20

Credits: David PS Eoincar Gab Baptiste Cecconi Shanem Jbyrne Florian Mayer Natasha A lynnyk

Attributions: LASCO_CME_QUERY LASCO_CME_QUERY MDES simple execution timeToTimeRange Forward CME propagation model (SHEBA) - defined outputs When did the fastest type II CME happened? Goes Flare Check WF 100CME_task1 Extract average Solar wind speed from ACE data

Back CIR-CME propagation model (1)

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With a observing time at an object and the type of PM that you want to run executes it and provides the plots and the time and longitude where it should be seen the origin of the event.

Created: 2012-10-24

Credits: David PS Anja Le Blanc

Attributions: CME backwards propagation Co-rotating Interaction Regions backwards propagation

Solar Wind properties and plot (1)

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Using HELIO-MDES this workflow provides some properties of the solar wind from an input date and a mission and the plot +/-1 day for context.

Created: 2012-10-25

Credits: David PS

Attributions: MDES simple execution

Extract average Solar wind speed from ACE ... (1)

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It reads the data coming from a MDES (HELIO) query and calculates the average Solar Wind speed. Notice that it just works for ACE as other missions could have the columns in different order.

Created: 2012-10-30

Credits: Eoincar

Number of bonds/atoms generator from Chemi... (1)

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No description

Created: 2012-10-30 | Last updated: 2012-10-30

Credits: Michael Smith

Matching flare events to active regions (1)

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No description

Created: 2012-11-01

Credits: Anja Le Blanc

Mp3 To Wav Migrate QA CLI List Test (4)

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Migrates Mp3 files from input List to Wav files and performs QA. The QA steps include File Format Validation, Significant Property Comparison and migrationQA file content comparison (all CLI). As this is a Test workflow, the (very large) Wav files are deleted, and only the QA results and log files are saved for analysis. This workflow matches solution SO4 on the SCAPE opf wiki, see http://wiki.opf-labs.org/display/SP/SO4+Audio+mp3+to+wav+Migration+and+QA+Workflow

Created: 2012-11-05 | Last updated: 2012-11-13

Credits: Bolette Jurik

HFC Synoptic map from date (1)

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query the HELIO Feature Catalogue, and retrieves the image with all the features catalgued for certain date.

Created: 2012-11-05

Credits: David PS

CDAW CME movie from date (1)

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generates the url for the input date to visualize CMEs and GOES xray light curve produced by CDAW at GSFC

Created: 2012-11-05

Credits: David PS

Attributions: HFC Synoptic map from date

ImportRefSeqtoKegg (3)

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This workflow extracts a column of RefSeq gene IDs from a CSV file and then converts them to Kegg gene identifiers. This workflow uses the new KEGG REST service, which replaces the old SOAP interface from 31st December 2012

Created: 2012-11-12 | Last updated: 2013-01-08

Credits: Katy Wolstencroft

Finding the origins of Solar Wind events a... (6)

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This gives a comprenhensive overview of high speed solar wind events (CME or CIR) seen at Eart, by obtaining the maximum in-situ measure velocity from the data evaluation service (DES), propagating the even backwards to Earth using the HELIO processing service (HPS) and SHEBA propagation model, and search whether halo CMEs or CHs were observed on that time, and retrieves, besides all the previous information, a context solar wind plot (+/- 1 day) and a URL linking to a context movie for CMEs...

Created: 2012-11-16 | Last updated: 2013-03-21

Credits: David PS

Attributions: CME backwards propagation Co-rotating Interaction Regions backwards propagation HFC Synoptic map from date CDAW CME movie from date Solar Wind properties and plot Back CIR-CME propagation model LASCO_CME_QUERY

AIT Matchbox Scenario All (1)

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In this scenario matchbox will find duplicates in passed digital collection. All matchbox workflow steps are executed automatically in one turn. User will get a list of duplicates in result. Matchbox in this scenario is installed on remote Linux VM. Digital collection is stored on Windows machine.

Created: 2012-11-24 | Last updated: 2012-11-24

Credits: Roman SCAPE

AIT Matchbox Scenario Professional (3)

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In this scenario matchbox will find duplicates in passed digital collection. Each matchbox workflow step can be executed separately. User will get a list of duplicates in result. Matchbox in this scenario is installed on remote Linux VM. Digital collection is stored on Windows machine. This workflow starts duplicate finding process using the FindDuplicates python script of the matchbox tool. Matchbox tool support python in version 2.7. Execution starts from the directory where python scripts ...

Created: 2012-11-24 | Last updated: 2012-11-24

Credits: Roman SCAPE

AIT Matchbox Scenario Find Duplicates usin... (1)

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In this scenario matchbox will find duplicates in passed digital collection. All matchbox workflow steps are defined separately using input parameter sequence: clean, extract, train, bowhist and compare. User will get a list of duplicates in result. Matchbox in this scenario is installed on remote Linux VM. Digital collection is stored on Windows machine.

Created: 2012-11-24

Credits: Roman SCAPE

AIT Matchbox Scenario Check Duplicate Pair... (1)

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In this scenario matchbox will check duplicate pair of previously found duplicates in passed digital collection if output information was lost. The pair check does not require the time consumpting whole analysis and is very fast. Matchbox in this scenario is installed on remote Linux VM. Digital collection is stored on Windows machine.

Created: 2012-11-24

Credits: Roman SCAPE

AIT Matchbox Scenario Compare Image Pair b... (1)

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In this scenario matchbox will compare given image pair based on extracted profile information. User will get a histogram intersection distance value in result. Small value means high similarity, high value means different images. Matchbox in this scenario is installed on remote Linux VM. Digital collection is stored on Windows machine.

Created: 2012-11-24

Credits: Roman

Ingest.t2flow (1)

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 characterisation of NeXus files

Created: 2012-12-19

Credits: Arifshaon

Microbial Metagenomic Trait Statistical An... (9)

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This workflow retrieves the following microbial metagenomic traits from the Microbial Metagenomic Trait Database: -GC content -Variance of GC content -Dinucleotides -Number of rRNA -Codon usage -Amino acid composition -Acidic to basic amino acids ratio -% of Transcriptional factors -% of classified reads -Functional content -Functional diversity -Taxonomic content -Taxonomic diversity After the retrieval performs the ecological analyses described in Barberan et al. 2012 (http://dx.doi.or...

Created: 2012-12-19 | Last updated: 2014-11-12

Credits: Antonio Fernandez-Guerra Renzo Peliny BioVeL

Intialize Sample (2)

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This workflow saves a tabular *.pckl Python pickle dataset in the local file system, containing values calculated on physical parameters associated to potential companions of a sample of target galaxies. These original physical parameters are extracted from a postgreSQL database, containing information of all galaxies covered by the SDSS spectroscopic survey. The workflow first access the external database located in the AMIGA server and selects the target galaxies from the sample (those havi...

Created: 2013-01-04 | Last updated: 2013-01-05

Credits: Juandesant Jsm

Environment (2)

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From a previously selected cube of galaxies residing in a remote database, we provide extragalactic environment parameters for all galaxies sample. This workflow takes as input the path of the tabular *.pckl Python pickle dataset created in the previous workflow, as well as the database connection settings and several criteria on how to filter the potential companions of the target galaxies. It provides a file with the SDSS identifiers of each target galaxy of the sample, environmental estim...

Created: 2013-01-04 | Last updated: 2013-01-14

Credits: Juandesant Jsm

Resolving coordinates from a source names ... (2)

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Snippet showing how to use AstroTaverna tool for coordinates resolving. The input is a list of source names and the output is a VOTable with three columns: SourceName, RAJ2000, DECJ2000.

Created: 2013-04-12 | Last updated: 2013-04-22

Coordinate units conversion (3)

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Snippet showing how to use AstroTaverna tool for coordinate units conversion "Coordinates_units_conversion_in_VOTable". The input is a VOTable with three columns: SourceName, RA_J2000, DEC_J2000 in units degrees. Two conversions are performed on the coordinates for Right Ascension, first from degrees to radians, and a second one from radians to RA hours:minutes:seconds. Choices on the units to convert from and to may be set up in service configuration: right click on box "Coordinate units con...

Created: 2013-04-12 | Last updated: 2013-04-22

Adding a column to a VOTable using a mathe... (1)

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Snippet showing how to use AstroTaverna tool for adding columns based on expressions of existing columns. The input is a VOTable with five columns. A new column is added considering the maximum value of the three last columns. All functions provided by STILTS Library may be used. http://www.star.bris.ac.uk/~mbt/stilts/sun256/sun256.html#staticMethods

Created: 2013-04-12

Concatenates two VOTables with the same nu... (2)

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

Created: 2013-04-12 | Last updated: 2013-04-12

Joins two VOTables with the same numer of ... (1)

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Snippet showing how to use AstroTaverna tool for joining two VOTables. The input is two VOTables with the same number of rows. The result if using sample values provided will be an horizontally duplicated VOTable.

Created: 2013-04-12

Select rows from VOTable (1)

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Snippet showing how to use AstroTaverna tool for selecting/filtering rows from a VOTable. Functions provided by STILTS Library may be used. http://www.star.bris.ac.uk/~mbt/stilts/sun256/sun256.html#staticMethods

Created: 2013-04-12

Select columns from VOTable (2)

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Snippet showing how to use AstroTaverna tool for selecting/filtering columns from a VOTable.

Created: 2013-04-12 | Last updated: 2013-04-12

Validate_Compare_Compare_List (1)

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QA for file migrated to wav. The QA steps include File Format Validation, Significant Property Comparison and xcorrSound waveform-compare file content comparison (all CLI). Input the migrated wav and a "compare-to-wav" file.

Created: 2013-04-15

Credits: Bolette Jurik

GWAS to biomedical concept (3)

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Genome-Wide Association studies (GWAS) with metabolomic phenotypes yield several statistically significant SNP-metabolite associations. To understand the biological basis of the association, scientists typically dwell on identifying genes in the vicinity of the SNP and the possible pathways that the gene participates in. The information needed to arrive at an understanding of the mechanistic basis of the association requires integration of disparate data sources. The purpose of this workflow ...

Created: 2013-04-15 | Last updated: 2014-07-14

Credits: Kristina Hettne Harish Dharuri Marco Roos Reinout van Schouwen

Text-mining using OSCAR to obtain a list o... (1)

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This service extracts chemical names from text and obtains identifiers for these names. It outputs a HTML string that can be opened in a browser providing a table of information and links to ChemSpider.Known issues - Character limit ~3000 - Unable to produce InChIs or CSID for some names - Error sometimes encountered when a trivial and systematic name for the same compound are used - Some issues with identifiers being recognised but not able to be processedrequires access ...

Created: 2013-04-18

Credits: Michael Smith Mark Borkum

Attributions: InChIToCSID