Workflows

blastn and blastx (1)

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This workflow accepts an url of a fasta file as input and performs an NCBI blastn at the EBI against the bacteria database and an NCBI blastx against the uniref90 database.  From the blast results of the blastx the hit with the lowest e-value is taken and the GO is returned. Output is blastx and blastn results and GO from the first hit of the blastx.   Based on Katy Wolstencroft & Hamish McWilliam EBI_NCBI_BLAST http://www.myexperiment.org/workflows/1765.html

Created: 2011-06-08 | Last updated: 2011-06-08

Credits: Niek

Bash example from the NGS community contri... (1)

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  BASH Simple workflow that executes "ls" on the command line in the directory "/".

Created: 2011-06-07

Credits: Baj

Download the ONS solubility data from Goog... (1)

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 Use the Bioclipse scripting langauge to authenticate with Google Docs, and download the Open Notebook Science solubility data into a local data structure.

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

Credits: Egon Willighagen

DAS features retrieval and parsing with JDAS (2)

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Retrieve Protein or Genome features using the Distributed Annotation System (DAS) and create your own text output by modifying the JDAS component. To be able to use this workflow with JDAS copy this file … http://www.ebi.ac.uk/~maven/m2repo/uk/ac/ebi/das/jdas/1.0.3/jdas-1.0.3.jar … to the lib folder inside the Taverna application. This jar file is a dependency needed to parse DAS outputs.

Created: 2011-06-01 | Last updated: 2011-06-02

Credits: Rafael C. Jimenez

DAS features retrieval (2)

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Retrieve Protein or Genome features (annotations) using the Distributed Annotation System (DAS).

Created: 2011-06-01 | Last updated: 2011-06-01

Credits: Rafael C. Jimenez

DAS sequence retrieval and parsing with JDAS (1)

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Retrieve Protein or Genome sequences using the Distributed Annotation System (DAS) and create your own text output by modifying the JDAS component. To be able to use this workflow with JDAS, copy this file … http://www.ebi.ac.uk/~maven/m2repo/uk/ac/ebi/das/jdas/1.0.3/jdas-1.0.3.jar … to the lib folder inside the Taverna application. This jar file is a dependency needed to parse DAS outputs.

Created: 2011-05-30 | Last updated: 2011-05-30

Credits: Rafael C. Jimenez

DAS sequence retrieval (2)

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Retrieve Protein or Genome sequences using the Distributed Annotation System (DAS).

Created: 2011-05-30 | Last updated: 2011-05-30

Credits: Rafael C. Jimenez

Find Biological Models by GO. (1)

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Find Biological Models (Ids and Names) from Biomodels querying by Gene Ontology terms.

Created: 2011-05-29 | Last updated: 2011-05-29

Credits: Rafael C. Jimenez

Find Reactome pathways and reactions by GO (1)

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Find Reactome pathways and reactions (names and accessions) in Human querying by a Gene Ontology term. This is an example of how to use the Reactome Biomart service in Taverna. Many other possibilities are possible by modifying the filters and attributes options of the service.

Created: 2011-05-29 | Last updated: 2011-05-29

Credits: Rafael C. Jimenez

Find PRIDE experiments by GO (1)

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Find PRIDE experiments in Human with related information like Cell Type and Tissue location filtering results by Gene Ontology terms. This is an example of how to use the PRIDE Biomart service in Taverna. Many other options are possible by modifying the filters and attributes of this service.

Created: 2011-05-29 | Last updated: 2011-05-29

Credits: Rafael C. Jimenez

Molecular Interactions from IntAct PSICQUI... (2)

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Get molecular interaction data in psi-mitab25 from IntAct through its REST PSICQUIC service. As input you can use an Uniprot Acc like "P99999" or a MIQL query like "alias:KHDRBS1".

Created: 2011-05-29 | Last updated: 2011-10-05

Credits: Rafael C. Jimenez

Pathways and Gene annotations for QTL region (1)

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This workflow searches for genes which reside in a QTL (Quantitative Trait Loci) region in rice, Oryza sativa. 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. The Entrez and UniGene identifiers are then sent to KEGG to obtain KEGG gene identifiers. The KEGG gene identifiers are then used to searcg for pathways in the KEGG pathway d...

Created: 2011-05-27 | Last updated: 2011-05-27

Credits: Paul Fisher

Feature selection with background knowledge (1)

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Sample workflow that exploits background knowledge in the form of links connecting attributes in the different measurement data. The input data is assumed to be labeled and consists of different interconnected biological levels. Additionally a number of files defining links between attributes in the different measurement data are provided. This data was used in the KUP data mining challenge (http://tunedit.org/challenge/ON). Here we focus on two biological levels: protein data measured by ...

Created: 2011-05-25 | Last updated: 2011-05-25

Authenticate with the OpenTox network (1)

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 Bioclipse script commands log authenticate with the OpenTox network.

Created: 2011-05-25 | Last updated: 2011-05-25

Credits: Egon Willighagen

Create a molecules table from a list of IU... (1)

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 Scripts that uses OPSIN to convert IUPAC names into chemical structures, which are saved as SD file and openend in the Bioclipse molecules table.

Created: 2011-05-25 | Last updated: 2011-05-25

Credits: Egon Willighagen

Wykorzystanie klasyfikatora binarnego do k... (1)

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Wiele klasyfikatorów (np. SVM) pozwala na klasyfikacjÄ™ jedynie w przypadku gdy zmienna celu jest binarna. Poniższy przepÅ‚yw pokazuje, w jaki sposób operator Polynomial By Binomial Classificaiton pozwala agregować odpowiedzi klasyfikatorów binarnych dla przypadków, w których zmienna celu zawiera wiele różnych wartoÅ›ci.

Created: 2011-05-25 | Last updated: 2011-05-25

Prosty przykład metody Voting (1)

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Ten prosty przykład ilustruje wykorzystanie operatora Voting do przeprowadzenia głosowania większościowego. W zagnieżdżonym operatorze umieszczono przykładowe trzy modele bazowe (drzewo decyzyjne, sieć neuronowa, SVN), odpowiedź z operatora Voting to zwykłe głosowanie.

Created: 2011-05-25 | Last updated: 2011-05-25

Przykład metody Stacking (1)

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Poniższy przepÅ‚yw pokazuje wykorzystanie operatora Stacking do tworzenia meta-klasyfikatorów. Operator Stacking pozwala na zagnieżdżenie dowolnej liczby modeli bazowych, które bÄ™dÄ… równolegle uczone na zbiorze uczÄ…cym. Drugim operatorem zagnieżdżonym jest model klasyfikatora, który uczy siÄ™ na odpowiedziach modeli bazowych (czyli buduje model modeli odpowiedzi). W przykÅ‚adzie jako modele bazowe wykorzystano: drzewo decyzyjne, algorytm k-NN, sieć neurono...

Created: 2011-05-25 | Last updated: 2011-05-25

Prosty przykład algorytmu AdaBoost (1)

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Przepływ obrazuje przykład wykorzystania algorytmu AdaBoost. W kolejnych teracjach metoda modyfikuje przykłady ze zbioru uczącego, przypisując większą wagę przykładom błędnie sklasyfikowanym we wcześniejszych iteracjach.

Created: 2011-05-25 | Last updated: 2011-05-25

Przyklad metody Bagging (1)

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Proces pokazuje przykÅ‚ad wykorzystania metody Bagging do tworzenia zlożonych klasyfikatorów. Metoda generuje 10 niezależnych modeli drzewa decyzyjnego (każdy na podstawie 90% próbki zbioru uczÄ…cego). Ostateczna odpowiedź jest wynikiem gÅ‚osowania.

Created: 2011-05-25 | Last updated: 2011-05-25

Download Structures from PubChem given che... (1)

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This workflow takes the input file containing chemical names and returns a single SDF file of structures. The names are searched against pubchem compounds via e-search. If the compound name is found an XML file containing PubChem ID is returned.The max return compound_ID is set to 1 which could be increased. If the compound name is not found then no ID is returned.  The pubchem compound_ID is then used to download structures from PubChem.  

Created: 2011-05-24 | Last updated: 2011-05-24

Credits: Kalai Michael Gerlich

Attributions: Download Entries from PubChem

Frequent Itemset and association rules ana... (1)

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Generates frequent itemsets and association rules from the gene data. Frequent itemsets correspond to different gene characteristics (locations and functions) that frequently occur together across different genes. The quality of a frequent itemset is given by its support which is the fraction of genes for which a given combination of gene characteristics hold; the longer the itemset the lower its support. Based on the frequent itemset this WF also generates association rules which have some...

Created: 2011-05-23 | Last updated: 2011-05-24

Prepares data for gene correlation analysis (1)

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Prepares data for gene correlation analysis.

Created: 2011-05-23 | Last updated: 2011-05-23

Prepares data for the analysis of fibrosis... (1)

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Prepares gene data for fibrosis by joining datasets from different studies on fibrosis across various organs including the kidney.

Created: 2011-05-23 | Last updated: 2011-05-25

Get names of proteins similar to RNA bindi... (1)

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A very simple demo workflow using some existing SADI services. It finds UniProt proteins of GO function "RNA Binding", it then runs a BLAST service to find similar UniProt proteins and then outputs their names.

Created: 2011-05-18 | Last updated: 2011-05-18

Credits: hindlem

EBI PICR, find cross-references for protei... (2)

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Find cross-references (based on 100% sequence identity) for protein accessions from more than 95 distinct databases. For instance input a list of IPI accessions and find cross-references for Swissprot and Ensembl. Mappings can be limited by source database, taxonomic ID and activity status.

Created: 2011-05-18 | Last updated: 2011-05-29

Credits: Rafael C. Jimenez

Example for external tools with gzip and g... (1)

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This workflow is self-contained. It has a fixed URL from which a text file is downloaded (output as Original_file). That file is gzipped (output as Compressed_File) and then gunzipped again (output as Decompressed_File). The workflow wraps external tools from taverna.nordugrid.org and needs a beta version of Taverna 2.3 or later.

Created: 2011-05-18 | Last updated: 2011-05-18

Credits: Steffen Möller Alan Williams

Molecular Interactions from IntAct PSICQUI... (2)

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Get molecular interaction data in psi-mitab25 from IntAct through its PSICQUIC service. As input you can use an Uniprot Acc like "P99999" or a MIQL query like "alias:(KHDRBS1 OR HCK)". This workflow finds by itself how many queries needs to make (SOAP service limited to 200 binary interactions per call) to be able to return all the results in one file.

Created: 2011-05-17 | Last updated: 2011-07-20

Credits: Rafael C. Jimenez

Plotting distribution of natural product l... (1)

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 Prerequisite:  CDK -Taverna Plugin 0.5.1 http://www.ts-concepts.de/cdk-taverna2/plugin/ - To run this workflow you need a Score file which is written to text file.  - This could be generated from ScorerActivity.t2flow http://www.myexperiment.org/workflows/2121/download?version=1   Description of input ports : score_file: Path to file name that has pre computed scores. Note: While passing file as input it could be passed as list of many files or single fi...

Created: 2011-05-13 | Last updated: 2011-05-13

Credits: Kalai

Generate Atom Signatures of molecules give... (1)

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Reference: Natural Product-likeness Score and Its Application for Prioritization of Compound Libraries Peter Ertl,* Silvio Roggo, and Ansgar Schuffenhauer Novartis Institutes for BioMedical Research, CH-4002 Basel, Switzerland http://peter-ertl.com/reprints/Ertl-JCIM-48-68-2008.pdf    The natural product likeness scorer implemented by Peter Ertl was originally devised to screen large compound libraries for natural product likeness in drug designing studies. His work is re...

Created: 2011-05-13 | Last updated: 2011-05-13

Credits: Kalai

Extract chemical structures from a Beilste... (1)

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 Uses the Oscar4 text mining tool to extract chemical structures from a Beilstein Journal of Organic Chemistry paper and visualizes them in the molecules table. Jericho is used to extract text from the paper's HTML page.

Created: 2011-05-12 | Last updated: 2011-05-12

Credits: Egon Willighagen

SVD user-based collaborative filtering rec... (1)

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This workflow takes user-item matrix A as a input. Then it calculates reduced SVD decomposition A_k by taking only k greatest singular values and corresponding singular vectors. This worfkflow calculates recommendations and predictions for particular user %{id} from matrix A. Particular row %{id} is taken from original matrix A and replaced with %{id} row in A_k matrix. Predictions are made for %{id} user based on another users A_k. Note: This workflow uses R-script operator with R library ...

Created: 2011-05-09 | Last updated: 2011-05-09

Credits: Ninoaf Matko Bošnjak

Attributions: User-based collaborative filtering recommender system template Datasets for the pack: RCOMM2011 recommender systems workflow templates

LSI content based recommender system template (1)

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This workflow performs LSI text-mining content based recommendation. We use SVD to capture latent semantics between items and words and to obtain low-dimensional representation of items. Latent Semantic Indexing (LSI) takes k greatest singular values and left and right singular vectors to obtain matrix  A_k=U_k * S_k * V_k^T. Items are represented as word-vectors in the original space, where each row in matrix A represents word-vector of particular item. Matrix U_k, on the other hand ...

Created: 2011-05-06 | Last updated: 2011-05-09

Credits: Ninoaf Matko Bošnjak

Attributions: Content based recommender system template Datasets for the pack: RCOMM2011 recommender systems workflow templates

External Tool: Numerically adding two valu... (1)

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The workflow is an examples for the External Tools / UseCase plugin to integrate external tools. It wraps the "bc" command line calculator. Internally, it executes the following script: if [ ! -r "$1" ]; then echo "Cannot read file indicated by first argument '$1'." ; exit -1 ; fi ; if [ ! -r "$2" ];then echo "Cannot read file indicated by second argument '$1'." ; exit -1 ; fi if [ -x /usr/bin/bc ]; then ...

Created: 2011-05-06 | Last updated: 2011-05-06

Credits: Steffen Möller

Item-based collaborative filtering recomme... (1)

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The workflow for item-based collaborative filtering receives a user-item matrix for its input, and the same context defined macros as the user-based recommender template, namely %{id}, %{recommendation_no}, and %{number_of_neighbors}. Although this process is in theory very similar to user-based technique, it differs in several processing steps since we are dealing with an item-user matrix, the transposed user-item example set. The first step of the workflow, after declaring zero values miss...

Created: 2011-05-05 | Last updated: 2011-05-09

Credits: Matko Bošnjak Ninoaf

Attributions: Datasets for the pack: RCOMM2011 recommender systems workflow templates

User-based collaborative filtering recomme... (1)

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The workflow for user-based collaborative filtering, takes only one example set as an input: a user-item matrix, where the attributes denote item IDs, and rows denote users. If a user i has rated an item j with a score s, the matrix will have the value s written in i-th row and j-th column. In the context of the process we define the ID of the user %{id}, desired number of recommendations %{recommendation_no}, and the number of neighbors used in ca...

Created: 2011-05-05 | Last updated: 2011-05-09

Credits: Matko Bošnjak Ninoaf

Attributions: Datasets for the pack: RCOMM2011 recommender systems workflow templates

Content based recommender system template (1)

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As an input, this workflow takes two distinct example sets: a complete set of items with IDs and appropriate textual attributes (item example set) and a set of IDs of items our user had interaction with (user example set). Also, a macro %{recommendation_no} is defined in the process context, as a required number of outputted recommendations. The first steps of the workflow are to preprocess those example sets; select only textual attributes of item example set, and set ID roles on both of th...

Created: 2011-05-05 | Last updated: 2011-05-09

Credits: Matko Bošnjak Ninoaf

Attributions: Datasets for the pack: RCOMM2011 recommender systems workflow templates

CGR from multiple fasta files (1)

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 The workflow generates Chaos Game Represenations (CGR) image from multiple fasta files. See http://www.g-language.org/wiki/cgr for more information about the Chaos Game Representations.

Created: 2011-04-29 | Last updated: 2011-04-29

Credits: cory (Kazuki Oshita)

Voronoi polygon generation using GRASS-GIS... (1)

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Generic example on how to deal with vectorial data. Major pitfall is the need to process ProcessOutputs using Xpath plugin. A random point file in GML 2.1.2 is sent to the v.voronoi service and after it is sent to a service that runs v.out.svg generating a SVG image that can be rendered in Taverna (need to set output to SVG image)

Created: 2011-04-27 | Last updated: 2011-04-27

Credits: Jorgejesus

[untitled] (1)

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This workflow allows the user to search for processes that are involved with a certain gene. Using microarray-files (CEL-files), consisting of wild type and KO mice to which a stimulant is induced, the user can get an idea of the processes involved. (This is done using the global test and the literature weighted global test.) The results are then given as a text-file. Warning: workflow is not working (needs some revisions), all input is currently hardcoded! (You will have to change the file...

Created: 2011-04-26 | Last updated: 2011-04-26

Credits: Dennis Leenheer

Gene expression interpretation by the Glob... (1)

This workflow adds meaning to gene expresion values by performing a standard and a literature weighted Global Test. Gene expression is expected to be from Affymetrix microarrays, for which an RMA normalization and entrez Gene ID mapping/summation is performed. Original workflow is by Dennis Leenheer, edits by Marco Roos. Scripts by Kristina Hettne, acknowledging Rob Jellier, Jelle Goeman, and Peter-Bram 't Hoen. The workflow was created for the LUMC BioSemantics group, part of the Human Gen...

Created: 2011-04-26 | Last updated: 2011-04-26

Credits: Marco Roos

Remove_Duplicates (1)

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This workflow removes any duplicates from a list of inputs, merges the unique values, and then removes any null values.

Created: 2011-04-21 | Last updated: 2011-04-21

Credits: Paul Fisher

Magnetic Resonance Image simulation with S... (1)

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

Credits: Glatard

Positron Emission Tomography simulation wi... (1)

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This workflow implements Positron Emission Tomography simulation with PET-Sorteo http://sorteo.cermep.fr/. It is developped by the Virtual Imaging Platform (http://www.creatis.insa-lyon.fr/vip).

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

Credits: Glatard

Computed Tomography with Sindbad (1)

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This workflow implements computed tomography (CT) simulation with the Sindbad software. It is developped by the Virtual Imaging Platform (http://www.creatis.insa-lyon.fr/vip).

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

Credits: Glatard

FIELD-II ultrasound simulation (1)

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Workflow implementing ultrasound simulation using FIELD-II http://server.electro.dtu.dk/personal/jaj/field/. Developped by the Virtual Imaging Platform (http://www.creatis.insa-lyon.fr/vip).

Created: 2011-04-18

Credits: Glatard

M_Super_aln_boot_phylo_New (1)

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This workflow performs a generic protein sequence analysis. A multiple sequence alignment and finally a phylogenetic analysis.This workflow performs a generic protein sequence analysis. In order to do that a novel protein sequence enters into the software along with a list of known protein identifiers chosen by the biologist to perform a homology search, followed by a multiple sequence alignment and finally a phylogenetic analysis.This workflow performs "parallel" generic protein sequence ana...

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

Credits: Achille Zappa

Attributions: EMBL-EBI ClustalW2 (SOAP)

GRASS-GIS orchestration using pyWPS (2)

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Generic workflow that run r.watershed, with auxiliary services: r.math and geotiff2png. Watershed accumulation is calculated from DEM using r.watershed, the accumulation result is then filtered using r.math with equation:output=(if(a>10,a,null())) Generic workflow that run r.watershed, with auxiliary services: r.math and geotiff2png. Watershed accumulation is calculated from DEM using r.watershed, the accumulation result is then filtered using r.math with equation: output=(if(a>10,...

Created: 2011-04-18 | Last updated: 2011-04-25

Credits: Jorgejesus