Explore Workflows
View already parsed workflows here or click here to add your own
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qc-assembled.workflow.cwl
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Path: CWL/Workflows/qc-assembled.workflow.cwl Branch/Commit ID: 6a8727124baf77416ca797982fd4e0689c2a593a |
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chipseq-se.cwl
Runs ChIP-Seq BioWardrobe basic analysis with single-end data file. |
Path: workflows/chipseq-se.cwl Branch/Commit ID: 749460273e6c8d9e8b7d2395f0ac157701d3495e |
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PCA - Principal Component Analysis
Principal Component Analysis --------------- Principal component analysis (PCA) is a statistical procedure that uses an orthogonal transformation to convert a set of observations of possibly correlated variables (entities each of which takes on various numerical values) into a set of values of linearly uncorrelated variables called principal components. The calculation is done by a singular value decomposition of the (centered and possibly scaled) data matrix, not by using eigen on the covariance matrix. This is generally the preferred method for numerical accuracy. |
Path: workflows/pca.cwl Branch/Commit ID: 57863b6131d8262c5ce864adaf8e4038401e71a2 |
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foldseek easy-search sub-workflow
retrieve sequence from blastdbcmd result makeblastdb: ../Tools/14_makeblastdb.cwl blastdbcmd: ../Tools/15_blastdbcmd.cwl seqretsplit: ../Tools/16_seqretsplit.cwl needle (Global alignment): ../Tools/17_needle.cwl water (Local alignment): ../Tools/17_water.cwl |
Path: Workflow/11_retrieve_sequence_wf.cwl Branch/Commit ID: 00841b0975d16883f8d01c98315c48a9d1dc1dbe |
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bam-bedgraph-bigwig.cwl
Workflow converts input BAM file into bigWig and bedGraph files. Input BAM file should be sorted by coordinates (required by `bam_to_bedgraph` step). If `split` input is not provided use true by default. Default logic is implemented in `valueFrom` field of `split` input inside `bam_to_bedgraph` step to avoid possible bug in cwltool with setting default values for workflow inputs. `scale` has higher priority over the `mapped_reads_number`. The last one is used to calculate `-scale` parameter for `bedtools genomecov` (step `bam_to_bedgraph`) only in a case when input `scale` is not provided. All logic is implemented inside `bedtools-genomecov.cwl`. `bigwig_filename` defines the output name only for generated bigWig file. `bedgraph_filename` defines the output name for generated bedGraph file and can influence on generated bigWig filename in case when `bigwig_filename` is not provided. All workflow inputs and outputs don't have `format` field to avoid format incompatibility errors when workflow is used as subworkflow. |
Path: tools/bam-bedgraph-bigwig.cwl Branch/Commit ID: 749460273e6c8d9e8b7d2395f0ac157701d3495e |
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Cell Ranger Reference (RNA, ATAC, RNA+ATAC)
Cell Ranger Reference (RNA, ATAC, RNA+ATAC) Builds a reference genome of a selected species for quantifying gene expression and chromatin accessibility. The results of this workflow are used in all “Cell Ranger Count” and “Cell Ranger Aggregate” pipelines. |
Path: workflows/cellranger-mkref.cwl Branch/Commit ID: 57863b6131d8262c5ce864adaf8e4038401e71a2 |
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811.cwl
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Path: tests/wf/811.cwl Branch/Commit ID: f1d192dd2b28902fd0098e133c2ef241557d27a8 |
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THOR - differential peak calling of ChIP-seq signals with replicates
What is THOR? -------------- THOR is an HMM-based approach to detect and analyze differential peaks in two sets of ChIP-seq data from distinct biological conditions with replicates. THOR performs genomic signal processing, peak calling and p-value calculation in an integrated framework. For more information please refer to: ------------------------------------- Allhoff, M., Sere K., Freitas, J., Zenke, M., Costa, I.G. (2016), Differential Peak Calling of ChIP-seq Signals with Replicates with THOR, Nucleic Acids Research, epub gkw680. |
Path: workflows/rgt-thor.cwl Branch/Commit ID: a839eb6390974089e1a558c49fc07b4c66c50767 |
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chipseq-pe.cwl
Runs ChIP-Seq BioWardrobe basic analysis with paired-end input data files. |
Path: workflows/chipseq-pe.cwl Branch/Commit ID: 749460273e6c8d9e8b7d2395f0ac157701d3495e |
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ani_top_n
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Path: task_types/tt_ani_top_n.cwl Branch/Commit ID: 90a321ecf2d049330bcf0657cc4d764d2c3f42dd |
