Explore Workflows
View already parsed workflows here or click here to add your own
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taxonomy_check_16S
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Path: task_types/tt_taxonomy_check_16S.cwl Branch/Commit ID: 42df0c0f9a4e5697abadd9cb52440691fafc8f5d |
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Hello World
Outputs a message using echo |
Path: tests/wf/hello-workflow.cwl Branch/Commit ID: 31aa094dce60cbb176229d6b918bfd5ae09c0390 |
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checkm
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Path: checkm/wf_checkm.cwl Branch/Commit ID: 54c5074587af001a44eccb4762a4cb25fa24cb3e |
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Cell Ranger Aggregate (RNA, RNA+VDJ)
Cell Ranger Aggregate (RNA, RNA+VDJ) Combines outputs from multiple runs of either “Cell Ranger Count (RNA)” or “Cell Ranger Count (RNA+VDJ)” pipelines. The results of this workflow are primarily used in “Single-Cell RNA-Seq Filtering Analysis” and “Single-Cell Immune Profiling Analysis” pipelines. |
Path: workflows/cellranger-aggr.cwl Branch/Commit ID: 30031ca5e69cec603c4733681de54dc7bffa20a3 |
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Build Bowtie indices
Workflow runs [Bowtie](http://bowtie-bio.sourceforge.net/tutorial.shtml) v1.2.0 (12/30/2016) to build indices for reference genome provided in a single FASTA file as fasta_file input. Generated indices are saved in a folder with the name that corresponds to the input genome |
Path: workflows/bowtie-index.cwl Branch/Commit ID: 30031ca5e69cec603c4733681de54dc7bffa20a3 |
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spurious_annot pass2
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Path: spurious_annot/wf_spurious_annot_pass2.cwl Branch/Commit ID: 54c5074587af001a44eccb4762a4cb25fa24cb3e |
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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: b4d578c2ba4713a5a22163d9f8c7105acda1f22e |
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directory.cwl
Inspect provided directory and return filenames. Generate a new directory and return it (including content). |
Path: tests/wf/directory.cwl Branch/Commit ID: e2ec740fccc81ff7071dcd607c5c158fbc0dfb90 |
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rnaseq-se.cwl
Runs RNA-Seq BioWardrobe basic analysis with single-end data file. |
Path: workflows/rnaseq-se.cwl Branch/Commit ID: 144eee15187c1a1145ce1ee0239da69059fd2752 |
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Exome QC workflow
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Path: definitions/subworkflows/qc_exome_no_verify_bam.cwl Branch/Commit ID: 60edaf6f57eaaf02cda1a3d8cb9a825aa64a43e2 |
