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Graph Name Retrieved From View
workflow graph 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

https://github.com/datirium/workflows.git

Path: workflows/rnaseq-pe-dutp-mitochondrial.cwl

Branch/Commit ID: 91bb63948c0a264334b9007ef85f936768d90d11
workflow graph final_filtering

Final filtering

https://gitlab.bsc.es/lrodrig1/structuralvariants_poc.git

Path: structuralvariants/cwl/subworkflows/final_filtering.cwl

Branch/Commit ID: b62c7bfcf5eb7ac3c1ed06879200fdf5db947e4b
workflow graph indexing_bed

https://gitlab.bsc.es/lrodrig1/structuralvariants_poc.git

Path: structuralvariants/cwl/subworkflows/indexing_bed.cwl

Branch/Commit ID: de9cb009f8fe0c8d5a94db5c882cf21ddf372452
workflow graph genome-indices.cwl

Generates genome indices for STAR v2.5.3a (03/17/2017) & bowtie v1.2.0 (12/30/2016).

https://github.com/datirium/workflows.git

Path: workflows/genome-indices.cwl

Branch/Commit ID: cf107bc24a37883ef01b959fd89c19456aaecc02
workflow graph genome-kallisto-index.cwl

Generates a FASTA file with the DNA sequences for all transcripts in a GFF file and builds kallisto index

https://github.com/Barski-lab/workflows.git

Path: tools/genome-kallisto-index.cwl

Branch/Commit ID: 12edfc2207507e53c6b5bb21e50decb5535a12f7
workflow graph count-lines3-wf.cwl

https://github.com/common-workflow-language/cwltool.git

Path: cwltool/schemas/v1.0/v1.0/count-lines3-wf.cwl

Branch/Commit ID: e2ec740fccc81ff7071dcd607c5c158fbc0dfb90
workflow graph chipseq-gen-bigwig.cwl

https://github.com/datirium/workflows.git

Path: subworkflows/chipseq-gen-bigwig.cwl

Branch/Commit ID: ae2b231562822ed66b8e35e5452ae7f012416b2a
workflow graph allele-vcf-alignreads-se-pe.cwl

Workflow maps FASTQ files from `fastq_files` input into reference genome `reference_star_indices_folder` and insilico generated `insilico_star_indices_folder` genome (concatenated genome for both `strain1` and `strain2` strains). For both genomes STAR is run with `outFilterMultimapNmax` parameter set to 1 to discard all of the multimapped reads. For insilico genome SAM file is generated. Then it's splitted into two SAM files based on strain names and then sorted by coordinates into the BAM format. For reference genome output BAM file from STAR slignment is also coordinate sorted.

https://github.com/datirium/workflows.git

Path: subworkflows/allele-vcf-alignreads-se-pe.cwl

Branch/Commit ID: ae2b231562822ed66b8e35e5452ae7f012416b2a
workflow graph wgs_variant_calling_bam.cwl

https://github.com/cr-ste-justine/chujs-alignment-workflow.git

Path: workflows/wgs_variant_calling_bam.cwl

Branch/Commit ID: 682ec407000059b7f397e5faaeff1317af1d9402
workflow graph heatmap-prepare.cwl

Workflow runs homer-make-tag-directory.cwl tool using scatter for the following inputs - bam_file - fragment_size - total_reads `dotproduct` is used as a `scatterMethod`, so one element will be taken from each array to construct each job: 1) bam_file[0] fragment_size[0] total_reads[0] 2) bam_file[1] fragment_size[1] total_reads[1] ... N) bam_file[N] fragment_size[N] total_reads[N] `bam_file`, `fragment_size` and `total_reads` arrays should have the identical order.

https://github.com/Barski-lab/workflows.git

Path: subworkflows/heatmap-prepare.cwl

Branch/Commit ID: fb355eda4555a7e7182a91ce045212b0a087d73f