Workflows

odeSolver Web service (1)

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SBML ODE Solver Library (http://www.tbi.univie.ac.at/~raim/odeSolver/) Web service.

Created: 2011-01-26 | Last updated: 2011-01-26

Credits: trybik

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

Split text/string into its lines and filte... (2)

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When retrieving a URL or soemthing alike, one can often identify the region of interest as a single line. Besides the expected output, also some interim values, like the lines split are forwarded, to allow some straight-forward cascading of filters with reduced redundancy.

Created: 2009-08-19

Credits: Steffen Möller

Using HEK information to get DPAS data (1)

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Query HEK for all kinds of events and query DPAS for given instrument for data from event times.

Created: 2010-06-10 | Last updated: 2010-06-10

Credits: Anja Le Blanc

echo (1)

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The workflow tests the standard-compliance of web service descriptions of ARC-1, a development of the EU project "KnowARC" to modernise the grid infrastructure ARC of the NorduGrid. Learn more about it on http://www.knowarc.eu and http://www.nordugrid.org. If you have computers in spare - join us - and help you very own and many other sciences. And you make many interesting contacts just en passent. No authorisation is required for this very experimental service.

Created: 2008-09-18

Credits: Steffen Möller

Homology workflow (1)

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There are many kinds of DNA data derived from many species in DDBJ. It makes possible to carry out the comparative study of genes of multiple species. The workflow provides a list of species and their genes that are similar to a human gene in response to a name of the human gene.

Created: 2010-05-12 | Last updated: 2010-05-12

Credits: wabi

interpro_url.xml (1)

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An example of how a more complex workflow can federate multiple resources to perform data mining. In this case a single input data item in the form of a probe set identifier is cross referenced to data sets in multiple locations to answer a kind of 'show me everything about this data' question.

Created: 2008-07-12 | Last updated: 2008-07-12

Credits: Paul Fisher

metabolic.xml (1)

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An example of how a more complex workflow can federate multiple resources to perform data mining. In this case a single input data item in the form of a probe set identifier is cross referenced to data sets in multiple locations to answer a kind of 'show me everything about this data' question.

Created: 2008-07-12 | Last updated: 2008-07-12

Credits: Paul Fisher

Texture classification: Knime Image Analytics (1)

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A workflow including image pre-processing and descriptor calculation for building a texture classification model. The workflow can really be used for any kind of image classification task for which has labelled training data.There is significant scope of improvement, both on the image processing , descriptor selection and model building phases..Happy image analytics !

Created: 2015-11-10

Credits: Insilicoconsulting

Detrprok (4)

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In the case study of stranded and prokaryotic RNAseq data, the Det'Rprok workflow detects candidates of 3 kinds of non coding RNA: 5'UTRs, antisense RNAs, and small RNAs.Inputs: i) an mapping file (bam format) containing one valid alignment by read, ii) a feature file (gff format) annotating the genomic sequences used for the mapping. Dependencies (from the Galaxy toolshed): "s_mart", "detrprok_scripts"

Created: 2013-05-20 | Last updated: 2015-11-03

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

Drug-Drug Networks using Matador-DrugBank ... (1)

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These days, Networks of all kinds are all the rage! So here's a trickle contributing to the flood.The workflow generates a network based on Similarity between known drugs based on commonality of their "direct" drug target interactions.The workflow does not provide a comparison between Chemical similarity based network and one based on shared drug targets. It only provides the latter.Other nodes and interfaces to Cytoscape and exported csv can be used to further the network analy...

Created: 2015-09-17 | Last updated: 2015-09-17

Credits: Insilicoconsulting

SAR by Rgroup decomposition (1)

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This workflow showcases a simple way to use Rgroup decomposition for SAR analysis.Once R-groups are obtained for several sites on the Scaffold, molecular properties like logP, TPSA, number of heavy/hetero-atoms, various kinds of ring counts are calculated.While medicinal chemistry purists may decry calculating properties for fragments/R-groups, correlating these at each site with Ki (or activity) shows up interesting trends.It's immediately apparent if increasing logP at a given site incr...

Created: 2015-09-15

Credits: Insilicoconsulting

phage display techniques (1)

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Created: 2016-11-22

Credits: Candy Swift

Cow-Human Ortholog Pathways and Gene annot... (2)

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This workflow searches for genes which reside in a QTL (Quantitative Trait Loci) region in the cow, Bos taurus. The workflow requires an input of: a chromosome name or number; a QTL start base pair position; QTL end base pair position. Data is then extracted from BioMart to annotate each of the genes found in this region. As the Cow genome is currently unfinished, the workflow subsequently maps the cow ensembl gene ids to human orthologues. Entrez and UniProt identifiers are then identified...

Created: 2007-10-03 | Last updated: 2009-12-03

Semantic clustering (with k-medoids) of SP... (1)

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The workflow uses RapidMiner extension named RMonto (http://semantic.cs.put.poznan.pl/RMonto/) to perform clustering of SPARQL query results based on chosen semantic similarity measure. Since the semantics of the backgound ontology is used in this way, we use the name "semantic clustering". The SPARQL query is entered in a parameter of "SPARQL selector" operator. The clustering operator (k-medoids) allows to specify which of the query variables are to be used as clustering criteria. If more ...

Created: 2012-01-29

Semantic clustering (with AHC) of SPARQL q... (1)

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The workflow uses RapidMiner extension named RMonto (http://semantic.cs.put.poznan.pl/RMonto/) to perform clustering of SPARQL query results based on chosen semantic similarity measure. The measure used in this particualr workflow is a kernel that exploits membership of clustered individuals to OWL classes from a background ontology ("Common classes" kernel from [1]). Since the semantics of the backgound ontology is used in this way, we use the name "semantic clustering". ...

Created: 2012-01-29 | Last updated: 2012-01-29

Multi sequences NCBI BLAST (1)

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Run a BLAST analysis using the EBI's WSNCBIBlast service (see http://www.ebi.ac.uk/Tools/webservices/services/ncbiblast). This workflow wraps the EBI_NCBI_BLAST workflow to provide a basic user interface which prompts for the required inputs: sequence file, database, BLAST program and user e-mail. Other parameters (e.g. matrix, sort, gap penalties, etc.) are allowed to default.

Created: 2008-12-05

Credits: Whybiocc

Attributions: EBI_NCBI_BLAST EBI_NCBI_BLAST_with_prompts EBI_Blast2InterPro

Semantic clustering (with alpha-clustering... (1)

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The workflow uses RapidMiner extension named RMonto (http://semantic.cs.put.poznan.pl/RMonto/) to perform clustering of SPARQL query results based on chosen semantic similarity measure. The measure used in this particualr workflow is a kernel that exploits membership of clustered individuals to OWL classes from a background ontology ("Epistemic" kernel from [1]). Since the semantics of the backgound ontology is used in this way, we use the name "semantic clustering". This ...

Created: 2012-01-29 | Last updated: 2012-01-30

Staged iteration strategy (1)

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Consider two lists A and B, of equal size 3. A[1] corresponds to B[1], A[2] to B[2], etc, for instance A are image scans from 2007 and B from 2008, and the index indicates the patient number. A = [a0, a1, a2] B = [b0, b1, b2] There's then two lists of possible parameters P and Q, of different lengths, P has 2 and Q has 4 items. P = [p0, p1] Q = [q0, q1, q2, q3] Each of the A items should be processed in ap using each of the P parameters, and each of the B items ...

Created: 2008-05-07 | Last updated: 2008-05-07

Credits: Stian Soiland-Reyes

Liliopsida Protein Alignment (6)

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This workflow retrieves Liliopsida chloroplast petb gene sequences from NCBI Nucleotide, removes duplicate sequences and saves the results at BioExtract Server. These results are then converted into GenBank format and fed into Fetch Translation, which removes the translation from the CDS coding region. Translations are then used to build a multiple alignment using ClustalW.

Created: 2010-01-13 | Last updated: 2010-11-17

Credits: Carol Lushbough