Explore Workflows

View already parsed workflows here or click here to add your own

Graph Name Retrieved From View
workflow graph allele-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-alignreads-se-pe.cwl

Branch/Commit ID: 02ffbbd7eb8e06bfb759edea440f78bdc8bb2631
workflow graph extract_readgroup_fastq_se.cwl

https://github.com/nci-gdc/gdc-dnaseq-cwl.git

Path: workflows/bamfastq_align/extract_readgroup_fastq_se.cwl

Branch/Commit ID: 0495e3095182b2e1b4d6274833b3d2ce30347a4e
workflow graph Single-Cell Preprocessing Cell Ranger Pipeline

Devel version of Single-Cell Preprocessing Cell Ranger Pipeline ===============================================================

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

Path: workflows/single-cell-preprocess-cellranger.cwl

Branch/Commit ID: 2c486543c335bb99b245dfe7e2f033f535efb9cf
workflow graph setup.cwl

https://github.com/lonbar/VLBI-cwl.git

Path: workflows/setup.cwl

Branch/Commit ID: 58d6c7fe14e9a4de4e1659f8eedd2ca527c18a28
workflow graph RNA-Seq pipeline single-read 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 single-read** 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 single-read 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-se-dutp-mitochondrial.cwl

Branch/Commit ID: 7518b100d8cbc80c8be32e9e939dfbb27d6b4361
workflow graph bismark-methylation-se.cwl

Bismark Methylation pipeline. We can use indices_folder as genome_folder for bismark_extract_methylation step, because it insludes the original FASTA files too.

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

Path: workflows/bismark-methylation-se.cwl

Branch/Commit ID: 12edfc2207507e53c6b5bb21e50decb5535a12f7
workflow graph VIRTUS.PE.cwl

https://github.com/yyoshiaki/VIRTUS.git

Path: workflow/VIRTUS.PE.cwl

Branch/Commit ID: 49faf55f97c8f3084b426d2db6640519d6f2ce71
workflow graph EMG pipeline v3.0 (paired end version)

https://github.com/ProteinsWebTeam/ebi-metagenomics-cwl.git

Path: workflows/emg-pipeline-v3-paired.cwl

Branch/Commit ID: ca6ca613f0d3728d9589a6ca6293e66dfde87bfb
workflow graph Functional analyis of sequences that match the 16S SSU

https://github.com/proteinswebteam/ebi-metagenomics-cwl.git

Path: workflows/16S_taxonomic_analysis.cwl

Branch/Commit ID: 71d9c83761ea301a895dd669902979ef5a4b279b
workflow graph 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

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

Path: workflows/trim-rnaseq-se-dutp.cwl

Branch/Commit ID: 2c486543c335bb99b245dfe7e2f033f535efb9cf