Explore Workflows
View already parsed workflows here or click here to add your own
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mutect parallel workflow
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Path: definitions/subworkflows/mutect.cwl Branch/Commit ID: b9e7392e72506cadd898a6ac4db330baf6535ab6 |
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wgs alignment and tumor-only variant detection
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Path: definitions/pipelines/tumor_only_wgs.cwl Branch/Commit ID: 40097e1ed094c5b42b68f3db2ff2cbe78c182479 |
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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: 80d64741638b14de5cf58236b6d6d99713c62086 |
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abundance
abundace profiles from annotated files, for protein and/or rna |
Path: CWL/Workflows/abundance-clca.workflow.cwl Branch/Commit ID: 6a8727124baf77416ca797982fd4e0689c2a593a |
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assm_assm_blastn_wnode
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Path: task_types/tt_assm_assm_blastn_wnode.cwl Branch/Commit ID: 55b6ee46b0c9fb1c9949cd0888b388c6f11b73b1 |
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index sim seq
create sorted / filtered similarity file with feature sequences, and index by md5 |
Path: CWL/Workflows/index_sim_seq.workflow.cwl Branch/Commit ID: 6a8727124baf77416ca797982fd4e0689c2a593a |
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Chipseq alignment with qc and creating homer tag directory
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Path: definitions/pipelines/chipseq.cwl Branch/Commit ID: 77ec4f26eb14ed82481828bd9f6ef659cfd8b40f |
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kmer_build_tree
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Path: task_types/tt_kmer_build_tree.cwl Branch/Commit ID: 55b6ee46b0c9fb1c9949cd0888b388c6f11b73b1 |
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Single-cell RNA-Seq Alignment
Single-cell RNA-Seq Alignment Runs Cell Ranger Count to quantify gene expression from a single-cell RNA-Seq library. |
Path: workflows/sc-rna-align-wf.cwl Branch/Commit ID: 9064af1cdd8e97bcdf4473e2a741e1ada1a7c4f3 |
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FastQC - a quality control tool for high throughput sequence data
FastQC - a quality control tool for high throughput sequence data ===================================== FastQC aims to provide a simple way to do some quality control checks on raw sequence data coming from high throughput sequencing pipelines. It provides a modular set of analyses which you can use to give a quick impression of whether your data has any problems of which you should be aware before doing any further analysis. The main functions of FastQC are: - Import of data from FastQ files (any variant) - Providing a quick overview to tell you in which areas there may be problems - Summary graphs and tables to quickly assess your data - Export of results to an HTML based permanent report - Offline operation to allow automated generation of reports without running the interactive application |
Path: workflows/fastqc.cwl Branch/Commit ID: 564156a9e1cc7c3679a926c479ba3ae133b1bfd4 |
