Workflows

GT: Sample Sheet Generation (7)

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Creates a sample sheet from a SAMid exported file. User provides a plate number. Before running, make sure the SAMid exported file is in the correct directory under: /gne/research/data/lab-shares/gCell/_gCell/Baseline_Profiling_Cells/Genotyping/Plate_# Results will be stored under this directory: /gne/research/data/bioinfo/gcell/genotype/prd/Plate_#

Created: 2011-08-31 | Last updated: 2011-09-08

Credits: Chengc

Convert GML to SVG (1)

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This workflow can convert the GML (Geography Markup Language) file to SVG image.

Created: 2011-08-31 | Last updated: 2011-08-31

Credits: Harvey

TIFF to PNG (1)

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This workflow can convert Image format from TIFF to PNG. This workflow is one of the example for GENESI-DEC ontology.

Created: 2011-08-31 | Last updated: 2011-08-31

Credits: Harvey

Image metadata extraction (1)

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This workflow invokes the gdalinfo service and will list various information about a GDAL supported raster dataset of the image ( GeoTIFF, PNG, JPEG and GIF.).

Created: 2011-08-31 | Last updated: 2011-08-31

Credits: Harvey

BATWING (1)

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Batwing reads in multi-locus haplotype data, and model and prior distri- bution specifications, and uses a Markov chain Monte Carlo (MCMC) method based on coalescent theory to generate approximate random samples from the posterior distributions of parameters such as mutation rates, effective population sizes and growth rates, and times of population splitting events. It also generates approximate posterior samples of the entire genealogical tree underly- ing the sample, including the tree hei...

Created: 2011-08-25 | Last updated: 2011-08-25

Credits: Pipeline

Find instruments of a special type in a se... (1)

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This workflow takes a type of isnstrument as input and the minimum and maxium coordinates in HCI as input. Cadence for the location service is for defining the 'continues' presence. Output is a VOTable based on the ICS return where two columns are added for the time this instrument has entered and exited the Region of Interest.

Created: 2011-08-24 | Last updated: 2011-08-24

Credits: Anja Le Blanc

Attributions: Find instruments of a special type in a section of space described in HCI coordinates

Find instruments of a special type in a se... (1)

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This workflow takes a type of isnstrument as input and the minimum and maxium coordinates in HCI as input. Cadence for the location service is for defining the 'continues' presence. Output is a VOTable based on the ICS return where two columns are added for the time this instrument has entered and exited the Region of Interest.

Created: 2011-08-24 | Last updated: 2011-08-24

Credits: Anja Le Blanc

BLAST your sequences against the NucleaRDB (1)

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BLAST your sequences against the NucleaRDB. Input requires a sequence with amino acids only (no fasta format etc)

Created: 2011-08-19 | Last updated: 2011-08-19

Credits: Bas Vroling

Rave Usability Lab Workflow (1)

Created: 2011-08-16 | Last updated: 2011-11-10

Credits: Liz Masterman

Split string into string list, new line se... (1)

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Split string into string list using new line as separator. Should work in Linux, Mac and Windows.

Created: 2011-08-15 | Last updated: 2014-02-26

Credits: Rafael C. Jimenez

Difference: Query - Reference (1)

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Difference bettwen the query list and the reference list. Things that are in the query and not in the reference.

Created: 2011-08-15 | Last updated: 2011-08-15

Credits: Rafael C. Jimenez

Plotting Training vs Testing Error (Loop +... (1)

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This process increases the parameter C of a support vector machine and hence also the risk for overfitting. It uses an outer loop operator for increasing the parameter value and an inner log operator for storing the current number of applications together with the current errors on the training and the testing data set. At the end of the process, the log data can be plotted (for example with the plotter "Scatter Multiple" with "Count" on the x-axis and both "Training Error" and "Testing Error...

Created: 2011-08-15

XML-RPC example current time (1)

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Using Apache ws-xmlrpc from Beanshell scripts to call time.xmlrpc.com - see http://www.xmlrpc.com/currentTime To use, download the JARs from http://ws.apache.org/xmlrpc/download.html (ie. http://apache.mirror.anlx.net//ws/xmlrpc/apache-xmlrpc-current-bin.zip ) - unzip and put into Taverna's home directory lib/ folder. Right-click on the Beanshell script and check the "Dependencies" tab to check that all JARs have been ticked off (minimum required: ws-common-util.jar, xmlrpc-client.jar and x...

Created: 2011-08-11 | Last updated: 2011-08-11

Credits: Stian Soiland-Reyes

OpenTox Learn and evaluate model (1)

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Learns a LoMoGraph model on the TUM servers and evaluates it using 10 fold cross validation.

Created: 2011-08-09

OpenTox Upload and merge data sets (1)

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Uploads 2 data sets to OpenTox, merges them and returns the merged data set.

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

Example of a conditional execution workflow (1)

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If the input is true then the string 'foo' is emited, if false then 'bar'. Just a simple example to show how the monster works, so to speak.

Created: 2011-08-04

Credits: Taverna 1.7.1 workflow workbench examples

sampleDistribution Web service operation (1)

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Probabilistic distribution sampling operation which uses Mathematica software (http://www.wolfram.com/mathematica/).

Created: 2011-08-03 | Last updated: 2011-08-04

Credits: trybik

Find common events in HEC tables which use... (5)

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Use only tables which provide lat_hg and long_hg. Inputs: table names of two HEC tables; time interval in which the search is being conducted; delta for time and location to enlarge the search space. Output: VOTable which combines the resultset of the HEC by the common event.

Created: 2011-08-03 | Last updated: 2012-02-03

Credits: Anja Le Blanc

EUADR - Literature Analysis (1)

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The aim of the "Literature Analysis" workflow is to automate the search of publications related to ADRs corresponding to a given drug/adverse event association. To do so, we defined an approach based on the MeSH thesaurus, using the subheadings «chemically induced» and «adverse effects» with the “Pharmacological Action” knowledge.

Created: 2011-07-27 | Last updated: 2011-07-27

Credits: Avillach

EUADR Relationship Extraction Workflow (1)

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The workflow offers the ability to automatically determine if an ADR and a Drug are co-mentioned in any of the indexed resources. However the actual relationship between a Drug and an ADR can only be determined by referring to the actual resource The co-occurance relationship workflow seeks to automate the search for resources (publications, drug labels) related to ADRs corresponding to a given drug/ adverse event association. To enable this concept profiles for drugs and adverse effects wer...

Created: 2011-07-27 | Last updated: 2012-09-07

Credits: Bharat Singh

Get a PSICQUIC REST URL from a PSICQUIC SO... (1)

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Get a PSICQUIC REST URL from a PSICQUIC SOAP URL

Created: 2011-07-22 | Last updated: 2011-07-22

Credits: Rafael C. Jimenez

Genetic Algorithm for Input Component Anal... (1)

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This workflow uses a genetic algorithm to optimize the given molecular descriptor set. Afterwards the workflow splits the data into a training set and test set and evaluates the results which are stored as PDF files.

Created: 2011-07-22

Get Molecular Interactions from a PSICQUIC... (3)

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Check the different iput parameter you could use for this workflow in ... http://code.google.com/p/psicquic/wiki/RestAccess Check available PSICQUIC Services in ... http://www.ebi.ac.uk/Tools/webservices/psicquic/registry/registry?action=STATUS More about PSICQUIC ... http://code.google.com/p/psicquic/

Created: 2011-07-22 | Last updated: 2013-07-10

Credits: Rafael C. Jimenez

QSAR CSV to Weka Regression Dataset (1)

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This workflow converts the molecular descriptor data from a CSV file to a Weka XRFF file. The workflow merges the retention time values from IN IDRT CSV with the molecular descriptor values from IN QSAR CSV to create a valid Weka regression set.

Created: 2011-07-21

Weka Regression from XRFF file. (1)

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The here shown workflow splits the given data into a training set and a test set. Afterwards a machine learning model is created by the Weka Regression worker which is evaluated by the Evaluate Regression Results as PDF worker. The resulting sets are stored as XRFF files in the folder determined by the OUT TRAIN XRFF and OUT TEST XRFF input ports. The calcualted machine learning models and the evaluation results are saved in the folder of OUT MODEL input port

Created: 2011-07-21 | Last updated: 2011-07-21