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Items tagged with "galaxy" (17)

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Workflows (17)
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Workflow 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: User Peter Li

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Workflow 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

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Workflow 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

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Workflow 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

Workflow 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: User Julian Garrido

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

Workflow 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: User Julian Garrido

Workflow 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: User Julian Garrido

Workflow Build plots from galfit and ellipse results (2)

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Build plots from galfit and ellipse results (http://www.myexperiment.org/workflows/3068.html, http://www.myexperiment.org/workflows/3052.html).

Created: 2012-08-30 | Last updated: 2012-09-07

Credits: User Julian Garrido

Workflow Detect ellipse failures and get votable wi... (1)

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It detects if ellipse has failed by checking if the resulting data file exists. It adds a column (validellipse) that contains 1 if ellipse didn't fail and 0 if ellipse failed. It returns a votable that contains all the data with the new column and a votable that contains only the rows where ellipse didn't failed. It uses astrotaverna plugin (http://wf4ever.github.com/astrotaverna/).

Created: 2012-09-07

Credits: User Julian Garrido

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Workflow 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

Workflow Clustered heatmap of signals around the TSSs (1)

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Galaxy workflow based on deepTools which creates a clustered heatmap of signals around the TSS. One bigwig file is needed as input with the signal and an annotation file with your TSS regions. The output will be a heatmap. You can create such a bigwig file with the bamCorrelate toolFor more information please see the deepTools wiki. This workflow is also available via the Galaxy Tool Shed.

Created: 2014-04-03 | Last updated: 2014-04-03

Credits: User Björn Grüning

Workflow Heatmap of read coverages (1)

Galaxy workflow based on deepTools which creates a clustered heatmap of the read coverage. Two BAM files will be used as input and a heatmap will be the output.For more information please see the deepTools wiki. This workflow is also available via the Galaxy Tool Shed.

Created: 2014-04-03

Credits: User Björn Grüning

Workflow Heatmap of read coverages (single BAM file) (1)

Galaxy workflow based on deepTools which creates a clustered heatmap of the read coverage. One BAM file will be used as input and a heatmap will be the output.For more information please see the deepTools wiki. This workflow is also available via the Galaxy Tool Shed.

Created: 2014-04-03

Credits: User Björn Grüning

Workflow Compute and correct GC bias in NGS data (1)

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Galaxy workflow based on deepTools which will compute and correct GC bias in your NGS data. For more information please see the deepTools wiki. This workflow is also available via the Galaxy Tool Shed.

Created: 2014-04-03

Credits: User Björn Grüning

Workflow Galaxy workflow for the identification of ... (1)

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This approach screens three proteins against a given genome sequence, leading to a genome position were all three genes are located nearby. As usual in Galaxy workflows every parameter, including the proximity distance, can be changed and additional steps can be easily added. For example additional filtering to refine the initial BLAST hits, or inclusion of a third query sequence.https://github.com/bgruening/galaxytools/tree/master/workflows/ncbi_blast_plus/find_three_genes_located_nearby

Created: 2015-03-17

Credits: User Björn Grüning

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Workflow AmrPlusPlus Paired Workflow (9)

AmrPlusPlus is a Galaxy-based metagenomics pipeline that is intuitive and easy to use. The pipeline takes advantage of current and new tools to help identify and characterize resistance genes from metagenomic sequence data.

Created: 2016-08-05 | Last updated: 2016-11-18

Credits: User Chris

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Workflow AmrPlusPlus Single Workflow (2)

AmrPlusPlus is a Galaxy-based metagenomics pipeline that is intuitive and easy to use. The pipeline takes advantage of current and new tools to help identify and characterize resistance genes from metagenomic sequence data.

Created: 2016-08-12 | Last updated: 2017-01-05

Credits: User Chris

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Non-Information Resource URI: https://www.myexperiment.org/tags/3532


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