Explore Workflows
View already parsed workflows here or click here to add your own
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Build Bismark indices
Copy fasta_file file to the folder and run run bismark_genome_preparation script to prepare indices for Bismark Methylation Analysis. Bowtie2 aligner is used by default. The name of the output indices folder is equal to the genome input. |
![]() Path: workflows/bismark-index.cwl Branch/Commit ID: fa4f172486288a1a9d23864f1d6962d85a453e16 |
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tt_kmer_compare_wnode
Pairwise comparison |
![]() Path: task_types/tt_kmer_compare_wnode.cwl Branch/Commit ID: 5b498b4c4f17bb8f17e6886aa4c5661d7aba34fc |
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inp_update_wf.cwl
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![]() Path: tests/inp_update_wf.cwl Branch/Commit ID: 3e90671b25f7840ef2926ad2bacbf447772dda94 |
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rmats_wf.cwl
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![]() Path: workflow/rmats_wf.cwl Branch/Commit ID: 23f866f01f36efd7feb8a62d2a6765495a999974 |
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cond-wf-002.cwl
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![]() Path: tests/conditionals/cond-wf-002.cwl Branch/Commit ID: 7d7986a6e852ca6e3239c96d3a05dd536c76c903 |
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Unaligned BAM to BQSR and VCF
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![]() Path: definitions/subworkflows/bam_to_bqsr_no_dup_marking.cwl Branch/Commit ID: d297528e53b6c1ecb69b1ab27b8e03323b4463ad |
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sum-wf.cwl
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![]() Path: tests/sum-wf.cwl Branch/Commit ID: 7d7986a6e852ca6e3239c96d3a05dd536c76c903 |
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ValidationWorkflowMissing
This is a placeholder for a missing acceptance workflow. |
![]() Path: workflows/ValidationWorkflowMissing.cwl Branch/Commit ID: 789752af87eb190387ff2acb4c95c7a5cdb961e7 |
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Trim Galore RNA-Seq pipeline single-read strand specific
Note: should be updated The original [BioWardrobe's](https://biowardrobe.com) [PubMed ID:26248465](https://www.ncbi.nlm.nih.gov/pubmed/26248465) **RNA-Seq** basic analysis for a **single-end** experiment. A corresponded input [FASTQ](http://maq.sourceforge.net/fastq.shtml) file has to be provided. Current workflow should be used only with the single-end RNA-Seq data. It performs the following steps: 1. Trim adapters from input FASTQ file 2. Use STAR to align reads from input FASTQ file according to the predefined reference indices; generate unsorted BAM file and alignment statistics file 3. Use fastx_quality_stats to analyze input FASTQ file and generate quality statistics file 4. Use 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/trim-rnaseq-se-dutp.cwl Branch/Commit ID: dda6e8b5ada3f106a2b3bfcc1b151eccf9977726 |
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Filter ChIP/ATAC peaks for Tag Density Profile or Motif Enrichment analyses
Filters ChIP/ATAC peaks with the neatest genes assigned for Tag Density Profile or Motif Enrichment analyses ============================================================================================================ Tool filters output from any ChIP/ATAC pipeline to create a file with regions of interest for Tag Density Profile or Motif Enrichment analyses. Peaks with duplicated coordinates are discarded. |
![]() Path: workflows/filter-peaks-for-heatmap.cwl Branch/Commit ID: 12e5256de1b680c551c87fd5db6f3bc65428af67 |