Workflows

Create_SNP_Set (1)

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The purpose of the workflow is to determine SNPs in the vicinity of the genes and create a SNP set for a given set of genes. The user has the freedom to choose the flanking width around the gene for determining the SNPs. The input is in the form of entrez gene ids. Biomart services are used to determine the chromosome and position of the gene as well as determining Affy gene chip 6k ids. The final report is stored as a tab-delimited text file with Affy 6 gene chip ids for the SNP and Kegg inf...

Created: 2012-08-21

Credits: Harish Dharuri

Kegg:Reactions Scheme (2)

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The purpose of this workflow is to determine all the enzymes/genes that participate in a radius of 2 reaction steps around a given metabolite. Broadly, the scheme involves the following steps: 1. determine all the reactions that the given metabolite participates in 2. determine all the compounds that participate in these reactions 3. filter certain compounds like H2O, ATP etc to avoid non-specific connections 4. determine all the reactions that the compounds passing through step 3 participate...

Created: 2012-08-20 | Last updated: 2013-08-27

Credits: Harish Dharuri

Check HEC instances for diverging content (2)

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This workflow check all tables in HEC on festung1 and festung3 for diverging content by comparing the last 1000 entries in each table. Output is a list of tabel names with different content.

Created: 2012-08-20 | Last updated: 2012-08-20

Credits: Anja Le Blanc

Hadoop Large Document Collection Data Prep... (1)

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Workflow for preparing large document collections for data analysis. Different types of hadoop jobs (Hadoop-Streaming-API, Hadoop Map/Reduce, and Hive) are used for specific purposes. The *PathCreator components create text files with absolute file paths using the unix command 'find'. The workflow then uses 1) a Hadoop Streaming API component (HadoopStreamingExiftoolRead) based on a bash script for reading image metadata using Exiftool, 2) the Map/Reduce component (HadoopHocrAvBlockWidthMapR...

Created: 2012-08-17 | Last updated: 2012-08-18

Credits: Sven

KEGG:Pathway Scheme (2)

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The purpose of the workflow is to determine all the genes operating in the pathways that the input metabolite participates in. The overall idea is to generate a set of genes that potentially influence the levels of a metabolite due to the common pathways that they share.

Created: 2012-08-14 | Last updated: 2013-08-27

Credits: Harish Dharuri

Gathering info from SDSS into a VOTable to... (4)

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This workflow joins two main nested workflows: - "Extract SDSS field information and PSF" workflow, which gathers information from SDSS VO service and from the header image in several VOtable. It also generates the psf files. - "Joining VOtables with information to execute Sextractor, Galfit and Ellipse" workflow, which joins the VOtables generated by the previous workflow to get only one VOtable with all the information

Created: 2012-08-13 | Last updated: 2013-03-08

Credits: Susana

Joining VOtables with information to execu... (3)

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This workflow join 13 votables, obtained from the workflow "Extract SDSS field information and PSF" in order to get a only one votable with all the information. Also it adds the columns "zp", "magzeropoint", xconvsize, yconvsize that are calculated from values provided in the inputs. The zp is -( aa + kk * airmass ), the magzeropoint is zp + 2.5 * log10(53.907456), the xconvsize is roundUp(nx/10) and the yconvsize is roundUp(ny/10)

Created: 2012-08-13 | Last updated: 2013-03-08

Credits: Susana

Convert a list into a VO Column (2)

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This workflow converts a list of values into a VO table with only one column. It receives two inputs: the list of values and the header name of the column to be built.

Created: 2012-08-13 | Last updated: 2013-03-08

Credits: Susana

Oryza Sativa QTLs and genes retrieval from... (2)

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For a given trait and QTL maximum size, retrieve accession numbers of the QTLs along with their mapping positions in Oryza sativa and retrieve genes present in the mapping genomic interval of a given QTL. Data integration from TropGene, Gramene and Ensembl relational databases. Semi-automatic creation of 7 Semantic Web Services for TropGene and Gramene with BioSemantic Use of BioMart Web Services for Ensembl interrogation

Created: 2012-08-08 | Last updated: 2012-09-28

Credits: Julien wollbrett

Hadoop hOCR parser (1)

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Big data processing: chaining Hadoop jobs using Taverna. This workflow demonstrates a simple way of linking different hadoop job components using the standard output of the hadoop jobs. It is not for thought for productive use, but for demonstration using small data sets. The code for the hadoop jobs is available on Github: tb-lsdr-hocrparser and tb-lsdr-seqfilecreator.

Created: 2012-08-07 | Last updated: 2012-08-07

Credits: Sven