Workflows

Find source at Sun of SW events on Earth (5)

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Try to detect the solar wind source on the Sun. Use backpropagation, ILS, HEC and HFC.

Created: 2011-11-15 | Last updated: 2012-05-24

Credits: Anja Le Blanc David PS

Example of explicit looping (1)

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This workflow demonstrates how a nested workflow can be called an explicit number of times. Note that the loop iterator does not need to be used in the logic of the loop contents. It can be used as a sentinel (see the conditional workflow)

Created: 2011-11-15 | Last updated: 2011-11-15

Credits: Alan Williams

Example of conditional invocation (1)

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This workflow demonstrates how nested workflows can be conditionally invoked

Created: 2011-11-15 | Last updated: 2011-11-15

Credits: Alan Williams

Calculation of distances, magnitutes and l... (4)

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Calculation of distances, corrected apparent B magnitude mB-corr and luminosities with values gathered from the HyperLEDA database. This workflow receives a list of galaxy names (hyperLEDA names. ie: KIG0001) and a file with the morphological types of those galaxies Using the name of a galaxy, the workflow querys Hyperleda to extract some properties of this galaxy (J2000 Coordinates, velocity, galactic extinction,log of axis ratio, and the Total B-magnitude ). With this properties it calcula...

Created: 2011-11-14 | Last updated: 2012-01-11

Sample IMPACT hackathon workflow (1)

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Workflow that implements the Use Case for Group 2 at the IMPACT/Taverna hackathon. What it does is to take the URL of a TIFF image and compute the Levenshtein difference between the OCR output of the uncompressed version with various ones compressed at various bit rates.

Created: 2011-11-14 | Last updated: 2012-06-19

Credits: Donal Fellows

Calculate edit distance based on words (1)

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 Calculate the word based edit distance between a scan of an OCR image and its ground truth.

Created: 2011-11-14 | Last updated: 2011-11-14

Credits: perdalum

Basic Call of HELIO Coordinate Transformat... (2)

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Transforms an input VOTable Coordinate set to a specified output VOTable Coordinate set. This workflow performs some remote computation and may take some time to complete.

Created: 2011-11-09 | Last updated: 2012-07-09

Credits: Anja Le Blanc

Attributions: Basic Call of HELIO Coordinate Transformation Service

Series of Factorials (1)

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 The workflow generates the series of factorial numbers.

Created: 2011-11-09 | Last updated: 2011-11-11

Basic Call of HELIO Coordinate Transformat... (1)

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Transforms an input VOTable Coordinate set to a specified output VOTable Coordinate set. This workflow performs some remote computation and may take some time to complete.

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

Credits: Anja Le Blanc

Instance Selection and Prototype Based Rul... (2)

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Example of Instance optimization using LVQ algorithm for training kNN classifier (Requires Instance Selection and Prototype Based Rules): Here we use FCM clustering to initialize LVQ network. The "Class assigner" is responsible for assigning class label for each cluster center, then obtained ExampleSet is used as codebooks initialization in the LVQ operator, which on the Prototype (Pro) output delivers the new optimized position of codebooks (prototypes) for training nearest n...

Created: 2011-11-05 | Last updated: 2011-11-07

Instance Selection and Prototype Based Rul... (1)

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Example of Instance optimization - using clustering for training kNN classifier (Requires Instance Selection and Prototype Based Rules) : Here we use FCM (Fuzzy c-means) clustering to initialize kNN classifier. Moreover centers of clusters are determined independent for each class. "Class iterator" operator iterates over each class label, and embedded clustering algorithm cluster the examples for each class independent. The Prototype (Pro) output of "Class iterator" delivers the concatena...

Created: 2011-11-05 | Last updated: 2011-11-05

Instance Selection and Prototype Based Rul... (2)

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Example of Instance optimization (Requires Instance Selection and Prototype Based Rules): Here we use FCM (Fuzzy C-means) clustering to initialize kNN classifier. The "Class assigner" is responsible for assigning class label for each cluster center. The class assigner operator use Voronoi diagram and the majority voting for determining class label.

Created: 2011-11-05 | Last updated: 2011-11-07

Instance Selection and Prototype Based Rul... (1)

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Example of Instance selection: (Requires Instance Selection and Prototype Based Rules plugin): Here instance selection is based on All-kNN algorithm. Because the Pro output of any instance selection operator is just an ExampleSet object, so in fact any Learner can be used instead of kNN, like DecisionTree, but in this example the Decision Tree is based on the reduced ExampleSet .

Created: 2011-11-05

Instance Selection and Prototype Based Rul... (1)

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Example of Instance selection chain (Requires Instance Selection and Prototype Based Rules plugin): Beafore training kNN we do instance selection based on cascade of instance selection algorithms. Here ENN algorithm is followed by CNN algorithm. Instance selection algorithms form PRules plugin works as View on original ExampleSet

Created: 2011-11-05

Instance Selection and Prototype Based Rul... (1)

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Example of Instance selection (Requires Instance Selection and Prototype Based Rules plugin): Before training kNN we do instance selection based on ENN algorithm. The ENN algorithm can be replaced by any other instance selection algorithms from Prules/Selection/* Instance selection algorithms form PRules plugin works as View on original ExampleSet

Created: 2011-11-05 | Last updated: 2011-11-05

Find periods of time where two ILS objects... (2)

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Inputs: name of target_obj of ILS of two objects and a number of degrees which these obejcts are allowed to be appart in hci longitude coordinates. Output VOTable of time periods where these two objects are closer than +/- input angle together.

Created: 2011-11-04 | Last updated: 2011-11-18

Credits: Anja Le Blanc

RCOMM 2011 Challenge 3: RapidDraw (1)

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This is a solution for Challenge 3 of the a live data mining process design competition "Who Wants to be a Data Miner" held at RCOMM 2011 in Dublin. The task was to generate a dataset that looks like a spiral when viewed in an appropriate plotter. This process opens a file with three initial data points and subsequently adds more points to the data set in a loop, using macros to extract data values of the predecessors and a "Generate Attributes" operator to add new data points. To view the...

Created: 2011-11-02

RCOMM 2011 Challenge 2: Vodka or President? (1)

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This is a solution for Challenge 2 of the a live data mining process design competition "Who Wants to be a Data Miner" held at RCOMM 2011 in Dublin. Those of you who loved "You Don't Know Jack" will remember this task: To tell whether a certain word is the name of a vodka or the name of a leader of the Soviet Union. The RapidMiner process was allowed to download data from Wikipedia to make this decision. One input file contains a list of words for which two attributes "Vodka" or "Leader" wi...

Created: 2011-11-02

RCOMM 2011 Challenge 1: Hobbit Genealogy (1)

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This is a solution for Challenge 1 of the a live data mining process design competition "Who Wants to be a Data Miner" held at RCOMM 2011 in Dublin. As you certainly know, Balbo Baggins is the common ancestor of Balbo and Frodo Baggins. The file opened by the operator "Open Ancestor" contains a table with details about parentship in the Baggins family (insert a breakpoint after read CSV). Each example contains a parent and a child. Of course, the same parent can be contai...

Created: 2011-11-02 | Last updated: 2011-11-02

POSTing CSV file to RapidAnalytics Web ser... (1)

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This is the second demo process used in the RapidAnalytics video on creating Web services. This process is the actual scoring process and used the model generated by the first process. The first input must be a CSV blob in the repository. Once the process is exposed as a Web service in RapidAnalytics, this input will be replaced by the body of the HTTP POST request.

Created: 2011-11-02 | Last updated: 2011-11-02

POSTing CSV file to RapidAnalytics Web ser... (1)

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This is the first demo used in the RapidAnalytics video on creating Web services. It downloads three data sets provided by data.gov.uk and generates a regression model and stores it as "RegressionTree" in the repository.

Created: 2011-11-02

Ice Class Map pixel analysis (NERSC) (1)

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NERSC ice classification workflow. Avaible images for a specific date will be fecthed from the WPS service, and their color table changed to allow for a user to easly identify specific areas. Statistical analysis also run using the r.stats module. Worflow uses a list of image, the list will flow thru the workflow for process resulting in mutiple outputs

Created: 2011-11-02 | Last updated: 2011-11-02

Credits: Jorgejesus

date filter for ice Class Map service (NERSC) (1)

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Workflow to filter available dates with ice classification images. Service provided by NERCS. Dates are filtered using a simple regular expression

Created: 2011-11-02 | Last updated: 2011-11-04

Credits: Jorgejesus

r.stats workflow for pixel statistics (1)

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r.stats operation for image. Output will group pixels by: DN, total area, relative %. This worflow is used inside the ice Class exampel as a nested workflow

Created: 2011-11-02 | Last updated: 2011-11-02

Credits: Jorgejesus

KNN-FeatureSelection-INCAE (1)

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This process adapts one of the templates available in RapidMiner 5 to include some preprocessing.

Created: 2011-10-28

BLASTP with simplified results returned (1)

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Perform a blastp search on protein sequence and extract information based on the user input, e.g. a list of GI numbers.

Created: 2011-10-25 | Last updated: 2011-10-25

Credits: Halima alshabani

Get homologous from an NCBI homoloGene.dat... (1)

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Get homologous from NCBI homoloGene for a lsit of UniProt protein accession. This workflow is useful if you have a long list of protein accessions. Use PICR to convert UniProt to RefSeq, get homologous from homoloGene and convert RefSeq results to UniProt. Be patient, the workflows has to bring a file around 11Mb. ftp://ftp.ncbi.nlm.nih.gov/pub/HomoloGene/README

Created: 2011-10-20 | Last updated: 2011-10-27

Credits: Rafael C. Jimenez

De-normalizing Dataset After K-means (1)

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K-means is performed on the iris dataset. After finding the clusters, the dataset is de-normalized and the means of the different variables are calculated by cluster.

Created: 2011-10-19 | Last updated: 2011-10-19

Revisión Sistemática de Software (4)

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 Workflow for sistematic software revision.

Created: 2011-10-18 | Last updated: 2011-12-12

Credits: E3matheus

KEGG pathway to proteins (2)

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Get various information about the proteins in a KEGG pathway. Demonstrates integrating SADI services with non-SADI services.

Created: 2011-10-17 | Last updated: 2011-10-18

Get homologous from NCBI homoloGene using ... (1)

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Get homologous from NCBI homoloGene for a lsit of UniProt protein accession. Use PICR to convert UniProt to RefSeq, get homologous from homoloGene and convert RefSeq results to UniProt. Be patient, the workflows has to bring a file around 11Mb. ftp://ftp.ncbi.nlm.nih.gov/pub/HomoloGene/README

Created: 2011-10-14 | Last updated: 2011-10-27

Credits: Rafael C. Jimenez

Get homologous from NCBI homoloGene using ... (1)

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Get homologous from NCBI homoloGene for one UniProt protein accession. Use PICR to convert UniProt to RefSeq, get homologous from homoloGene and convert RefSeq results to UniProt. Be patient, the workflows has to bring a file around 11Mb. ftp://ftp.ncbi.nlm.nih.gov/pub/HomoloGene/README

Created: 2011-10-14 | Last updated: 2011-10-14

Credits: Rafael C. Jimenez

Find orthologs using a uniprot accession (1)

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Find orthologs based on ensembl information using as input/output uniprot accession

Created: 2011-10-14 | Last updated: 2011-10-14

Credits: Rafael C. Jimenez

Get homologous from NCBI homoloGene (1)

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Get homologous from NCBI homoloGene for a list of Refseq protein accessions. Be patient, the workflows has to bring a file around 11Mb. ftp://ftp.ncbi.nlm.nih.gov/pub/HomoloGene/README

Created: 2011-10-13 | Last updated: 2011-10-13

Credits: Rafael C. Jimenez

WPS-GRASS-Bridge r.los example (1)

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r.los generates a raster output map in which the cells that are visible from a user-specified observer position are marked with the vertical angle (in degrees) required to see those cells (viewshed). A value of 0 is directly below the specified viewing position, 90 is due horizontal, and 180 is directly above the observer. The angle to the cell containing the viewing position is undefined and set to 180. http://grass.fbk.eu/grass62/manuals/html62_user/r.los.html

Created: 2011-10-13

Credits: Jorgejesus

Spreadsheet Import - Fertilizer Use (1)

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This workflow takes data from a spreadsheet and creates a graph of fertilizer use in NY state from 1960-1965.

Created: 2011-10-09 | Last updated: 2011-10-09

Credits: Atminer

Attributions: Spreadsheet Import Example

Broccoli Production New York State, 1960-1965 (1)

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This workflow takes data about agricultural production in New Jersey and New York from 1960 -1965, to compare productivity in broccoli growing.

Created: 2011-10-09 | Last updated: 2011-10-09

Credits: Atminer Alan Williams

Attributions: Spreadsheet Import Example

Population Plot with R (1)

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This script pulls the population of every country and creates a plot of them. This is based on the script at http://www.myexperiment.org/workflows/1728.html , with a few modifications for labelling axes and the title.

Created: 2011-10-08

Credits: Atminer

Average and Standard Deviation (1)

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This workflow takes in a list of values and a list name, and returns the list name, average, and standard deviation of the values.

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

Credits: Atminer

Simple Python example (1)

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This workflow generates a random number within the range 0 to 100. The generation is done by a python script. The workflow assumes that python is in the path.

Created: 2011-10-06 | Last updated: 2011-10-06

Credits: Alan Williams

Mapping Service (2)

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This service generates a google map of a group of place names and coordinates. The workflow will accept both coordinates and place names. This workflow takes place names/coordinates from both a spreadsheet, as well as on-the-fly input of a list of coordinates or place names (please note, if no supplemental data is desired, an empty link will allow the workflow to function). The Mapping Service workflow was created to assist in generating a map of where a series of interviews took p...

Created: 2011-10-06 | Last updated: 2011-10-06

Credits: tpacurtis

Mapping Workflow - Attempt (1)

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PLEASE NOTE: This is an early variation of http://www.myexperiment.org/workflows/2474.html. This workflow was abandoned as the above mentioned workflow is more streamlined. This workflow may or may not work successfully.

Created: 2011-10-06 | Last updated: 2011-10-06

Credits: tpacurtis

Longitude with beanshell (1)

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This workflow takes in a string value or list of values and pulls out longitude coordinates formatted as ###-##(N or S) using the following regular expression: \d\d\d-\d\d(E|W). The coordinates are processed and formatted to be in the form required by the web service used in my "Elevation plot" workflow. This workflow primarily contains string manipulation. For many of the text and list services used, the beanshell script needed to be modified in order to produce the formatti...

Created: 2011-10-06 | Last updated: 2011-10-06

Credits: Chrisser

Latitude with beanshell (1)

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This workflow takes in a string value or list of values and pulls out latitude coordinates formatted as ##-##(N or S) using the following regular expression: \d\d-\d\d(N|S). The coordinates are processed and formatted to be in the form required by the web service used in my "Elevation plot" workflow. This workflow contains primarily string manipulation. For many of the text and list services used, the beanshell script needed to be modified in order to produce the formatting I requi...

Created: 2011-10-06 | Last updated: 2011-10-06

Credits: Chrisser

Elevation plot v.2 (2)

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Functionally identical to the original. I tried to upload a version with annotation, but somehow the notes didn't make it to myExperiment. From the prior verion: This workflow accepts city and country names as user-supplied input. These value are supplied to the GetWeather webservice (http://www.webservicex.net/globalweather.asmx?WSDL), which returns an XML record of location and weather info for each recognized city. (See the uploaded photo "weather example") The XML returned fr...

Created: 2011-10-06 | Last updated: 2011-10-06

Credits: Chrisser

Get Element ID from Gzipped GenBank file (1)

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This workflow gunzips a *.gbk.gz file, converts it to XML (via agavewriter) and finds the Element ID. Does not work on *.gz files larger than 10MB. I upped the JVM settings on Taverna to:         <key>VMOptions</key>         <string>-Xmx4096m -XX:MaxPermSize=1024m</string> Created my own agave.dtd to get the XPath service to work the XML file generated from the Read_GenBank_File service. You will need to ...

Created: 2011-10-06 | Last updated: 2011-10-06

Credits: Mutanthumb Alan Williams

[untitled] (1)

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This workflow ...tbc img, #cubbies-overlay{ -moz-transition-property: margin, box-shadow, z-index; -moz-transition-duration: 0.1s; -webkit-transition-property: margin, box-shadow, z-index; -webkit-transition-duration: 0.1s; } .cubbies-selected{ z-index: 9999; box-shadow: 3px 3px 8px -1px blue !important; cursor: pointer !important; margin: -3px 3px 3px -3px; } .cubbies-selected:active{ box-shadow: 2px 2px 5px -1px darkblue !important; margin: -1px 1px 1px -1px; } #cubbies-overlay{ positio...

Created: 2011-10-06 | Last updated: 2011-10-06

Credits: Chrisser

Time Series Data Graphed and Cited (1)

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This workflow uses time series data from Rob Hyndman's Time Series Data Library (TSDL) and graphs it with Google charts. It also provides the citation information with the current date. The outputs are a Google Chart and the corresponding citation information. The inputs are URL strings for two datasets provided by Rob Hyndman under the subject of Ecology. These datasets include the annual number of lynx pelts and the annual unit price of lynx pelts during the year range 1857 -1911. This...

Created: 2011-10-05 | Last updated: 2011-10-05

Credits: Trisha Adamus Alan Williams Jeff adamus

Attributions: Fetch today's xkcd comic Spreadsheed Data Import Example HTML Citation Extraction Current Date Output

Current Date Output (1)

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Returns the Current Date optionally Formatted by input. Free to copy and use by all!.

Created: 2011-10-05 | Last updated: 2011-10-05

Credits: Jeff adamus

HTML Citation Extraction (1)

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 This workflow is a beanshell script that locates and extracts text within an html page.  It was designed to pull citation information from the website http://robjhyndman.com/TSDL/.

Created: 2011-10-05 | Last updated: 2011-10-05

Credits: Jeff adamus