Explore Workflows
View already parsed workflows here or click here to add your own
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scatter-wf1.cwl
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Path: cwltool/schemas/v1.0/v1.0/scatter-wf1.cwl Branch/Commit ID: e8b3565a008d95859fc44227987a54e6a53a8c29 |
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schemadef_types_with_import-wf.cwl
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Path: tests/schemadef_types_with_import-wf.cwl Branch/Commit ID: 707ebcd2173889604459c5f4ffb55173c508abb3 |
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downsample unaligned BAM and align
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Path: definitions/subworkflows/downsampled_alignment.cwl Branch/Commit ID: ae57b60e9b01e3f0f02f4e828042748409dff5a3 |
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RNA-Seq pipeline paired-end stranded mitochondrial
Slightly changed original [BioWardrobe's](https://biowardrobe.com) [PubMed ID:26248465](https://www.ncbi.nlm.nih.gov/pubmed/26248465) **RNA-Seq** basic analysis for **strand specific pair-end** experiment. An additional steps were added to map data to mitochondrial chromosome only and then merge the output. Experiment files in [FASTQ](http://maq.sourceforge.net/fastq.shtml) format either compressed or not can be used. Current workflow should be used only with the pair-end strand specific RNA-Seq data. It performs the following steps: 1. `STAR` to align reads from input FASTQ file according to the predefined reference indices; generate unsorted BAM file and alignment statistics file 2. `fastx_quality_stats` to analyze input FASTQ file and generate quality statistics file 3. `samtools sort` to generate coordinate sorted BAM(+BAI) file pair from the unsorted BAM file obtained on the step 1 (after running STAR) 5. Generate BigWig file on the base of sorted BAM file 6. Map input FASTQ file to predefined rRNA reference indices using Bowtie to define the level of rRNA contamination; export resulted statistics to file 7. Calculate isoform expression level for the sorted BAM file and GTF/TAB annotation file using `GEEP` reads-counting utility; export results to file |
Path: workflows/rnaseq-pe-dutp-mitochondrial.cwl Branch/Commit ID: 87f213456b3f966b773d396cce1fe5a272dad858 |
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step-valuefrom3-wf.cwl
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Path: cwltool/schemas/v1.0/v1.0/step-valuefrom3-wf.cwl Branch/Commit ID: 5ae5798f1c0c8d2178986b77cfd74edff510877a |
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Single-Cell WNN Cluster Analysis
Single-Cell WNN Cluster Analysis Clusters cells by similarity on the basis of both gene expression and chromatin accessibility data from the outputs of the “Single-Cell RNA-Seq Dimensionality Reduction Analysis” and “Single-Cell ATAC-Seq Dimensionality Reduction Analysis” pipelines run sequentially. The results of this workflow are used in the “Single-Cell Manual Cell Type Assignment”, “Single-Cell RNA-Seq Differential Expression Analysis”, “Single-Cell RNA-Seq Trajectory Analysis”, “Single-Cell Differential Abundance Analysis”, “Single-Cell ATAC-Seq Differential Accessibility Analysis”, and “Single-Cell ATAC-Seq Genome Coverage” pipelines. |
Path: workflows/sc-wnn-cluster.cwl Branch/Commit ID: b4d578c2ba4713a5a22163d9f8c7105acda1f22e |
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kmer_cache_store
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Path: task_types/tt_kmer_cache_store.cwl Branch/Commit ID: c17cac4c046f8ba2b8574a121c44a72d2e6b27e6 |
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exome alignment and tumor-only variant detection
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Path: definitions/pipelines/exome.cwl Branch/Commit ID: ddb49a0951d9ad537269d7db3fe8f904495a8bf4 |
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Filter differentially expressed genes from DESeq for Tag Density Profile Analyses
Filters differentially expressed genes from DESeq for Tag Density Profile Analyses ================================================================================== Tool filters output from DESeq pipeline run for genes to create a file with regions of interest for Tag Density Profile Analyses. |
Path: workflows/filter-deseq-for-heatmap.cwl Branch/Commit ID: f3e44d3b0f198cf5245c49011124dc3b6c2b06fd |
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Workflow to run pVACseq from detect_variants and rnaseq pipeline outputs
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Path: definitions/pipelines/pvacseq.cwl Branch/Commit ID: ddb49a0951d9ad537269d7db3fe8f904495a8bf4 |
