Explore Workflows
View already parsed workflows here or click here to add your own
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scatter-wf2.cwl
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Path: tests/scatter-wf2.cwl Branch/Commit ID: 3e90671b25f7840ef2926ad2bacbf447772dda94 |
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rnaseq-se-dutp.cwl
Runs RNA-Seq dUTP BioWardrobe basic analysis with strand specific single-end data file. |
Path: workflows/rnaseq-se-dutp.cwl Branch/Commit ID: 896422c9ff1995024cb77675edcd4d973ae11f7a |
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bulk scRNA-seq pipeline using Salmon
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Path: bulk-pipeline.cwl Branch/Commit ID: 8af5a1c9c99b06e7024e4ddbf45a15cf07ea9410 |
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mut2.cwl
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Path: tests/wf/mut2.cwl Branch/Commit ID: 6d8c2a41e2c524e8d746020cc91711ecc3418a23 |
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ValidateTelescopeSimulationModel
Validate the telescope simulation model as a whole. |
Path: workflows/ValidateTelescopeSimulationModel.cwl Branch/Commit ID: 789752af87eb190387ff2acb4c95c7a5cdb961e7 |
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gcaccess_from_list
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Path: task_types/tt_gcaccess_from_list.cwl Branch/Commit ID: 4ffbad9ffeab15ec8af5f6f91bd352ef96d1ef77 |
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step-valuefrom4-wf.cwl
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Path: tests/step-valuefrom4-wf.cwl Branch/Commit ID: 3e90671b25f7840ef2926ad2bacbf447772dda94 |
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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: dda6e8b5ada3f106a2b3bfcc1b151eccf9977726 |
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FASTQ Vector Removal
This workflow convert fastq to multiple fasta files |
Path: workflows/File-formats/fastq-to-splitted-fasta.cwl Branch/Commit ID: ebf1dd3c243c08634b0b3d9766c0a354903920ee |
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default-dir5.cwl
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Path: tests/wf/default-dir5.cwl Branch/Commit ID: 6d8c2a41e2c524e8d746020cc91711ecc3418a23 |
