Explore Workflows

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Graph Name Retrieved From View
workflow graph Trim Galore RNA-Seq pipeline single-read

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.cwl

Branch/Commit ID: b4d578c2ba4713a5a22163d9f8c7105acda1f22e

workflow graph ani_top_n

https://github.com/ncbi/pgap.git

Path: task_types/tt_ani_top_n.cwl

Branch/Commit ID: a33936cca222084cf68e00076255359688b6708a

workflow graph stdout-wf_v1_0.cwl

https://github.com/common-workflow-language/cwl-utils.git

Path: testdata/stdout-wf_v1_0.cwl

Branch/Commit ID: 124a08ce3389eb49066c34a4163cbbed210a0355

workflow graph kmer_seq_entry_extract_wnode

https://github.com/ncbi/pgap.git

Path: task_types/tt_kmer_seq_entry_extract_wnode.cwl

Branch/Commit ID: ca75d68eb74c93b35b404ec7908dc5b260e16466

workflow graph Bacterial Annotation, pass 4, blastp-based functional annotation (second pass)

https://github.com/ncbi/pgap.git

Path: bacterial_annot/wf_bacterial_annot_pass4.cwl

Branch/Commit ID: 54c5074587af001a44eccb4762a4cb25fa24cb3e

workflow graph somatic_exome: exome alignment and somatic variant detection

somatic_exome is designed to perform processing of mutant/wildtype H.sapiens exome sequencing data. It features BQSR corrected alignments, 4 caller variant detection, and vep style annotations. Structural variants are detected via manta and cnvkit. In addition QC metrics are run, including somalier concordance metrics. example input file = analysis_workflows/example_data/somatic_exome.yaml

https://github.com/genome/analysis-workflows.git

Path: definitions/pipelines/somatic_exome.cwl

Branch/Commit ID: ef7f3345b352319ec22dffba26c79df033b141f9

workflow graph count-lines6-wf.cwl

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

Path: v1.0/v1.0/count-lines6-wf.cwl

Branch/Commit ID: 17695244222b0301b37cb749fe4a8d89622cd1ad

workflow graph rnaseq-header.cwl

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

Path: metadata/rnaseq-header.cwl

Branch/Commit ID: 60854b5d299df91e135e05d02f4be61f6a310fbc

workflow graph extract_gencoll_ids

https://github.com/ncbi/pgap.git

Path: task_types/tt_extract_gencoll_ids.cwl

Branch/Commit ID: d87a0786b52809b36201adb7d3d3ab2b8bbbef20

workflow graph gathered exome alignment and somatic variant detection

https://github.com/genome/analysis-workflows.git

Path: definitions/pipelines/gathered_somatic_exome.cwl

Branch/Commit ID: 49508a2757ff2f49f1c200774a38af1c12b531bf