Workflows

Add columns to a votable resulting from ex... (1)

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Addcolumns that are needed to run galfit and ellipse. it requires columns coming from sextractor and the astrotaverna plugin.

Created: 2012-08-30

Credits: Julian Garrido

Create votable from different galfit param... (2)

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The workflow creates a votable from the results provided by galfit. It returns this table and an aditional table that is joined to the input table. It requires a votable that contains a column with the file name resulting from running galfit and such files must be accesible from taverna. It uses astrotaverna plugin (http://wf4ever.github.com/astrotaverna/) and it has a dependency on stil library (http://www.star.bris.ac.uk/~mbt/stil/). The galfit files may come from adjusting 'disk, bulb, ba...

Created: 2012-08-21 | Last updated: 2012-09-07

Credits: Julian Garrido

Calculate ellipses that describe a galaxy ... (2)

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This workflow calculates the ellipses that better match a galaxy by doing two iterations. In the first one the center and the outer ellipse are aproximated because there might be bars that affect to the inner ellipses. In the second one, files with the ellipse data are built. It creates ellipse scripts using data from a votable, it runs ellipse, its results are added to the votable, it creates new scripts for ellipse using the previous results, it runs ellipse a second time and it finally in...

Created: 2012-08-07 | Last updated: 2012-09-11

Credits: Julian Garrido

Attributions: Create configuration files from a template and a votable Run scripts from a column in a votable Create votable from ellipse results Detect ellipse failures and get votable without ellipse failures

Gene enhancer region analysis (1)

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 This Galaxy pipeline searches for transciption factor binding sites which are conserved through to Fugu. It then finds genes associated with these enhancer binding sites. See http://screencast.g2.bx.psu.edu/MAF_manipulation for the screencast that describes how this workflow is developed.

Created: 2012-06-14 | Last updated: 2012-07-06

Advanced FastQ manipulation (1)

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 This Galaxy workflow performs advanced FastQ manipulation as demonstrated by the screencast at http://screencast.g2.bx.psu.edu/quickie_14_fastq_adv/flow.html. Given a FastQ set of data, it will be transformed using the tools, Groomer, Filter FastQ, FastQ Trimmer, Manipulate FastQ before it is finally converted into FASTA format.

Created: 2012-06-14 | Last updated: 2012-06-14

Perform QC on FastQ data (1)

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 This Galaxy pipeline performs quality control analyses on FastQ data. A report is generated which provides various measures of the quality of the sequence reads.

Created: 2012-06-14 | Last updated: 2012-06-14

galaxy_101 (2)

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  This is a Galaxy pipeline written using the Galaxy 101 tutorial (https://main.g2.bx.psu.edu/galaxy101). The pipeline involves retrieving genome and SNP data from UCSC for a particular chromosome. These data are integrated in order to find exons with the highest number of SNPs.

Created: 2012-06-13 | Last updated: 2012-06-14

Credits: Peter Li