Explore Workflows
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exome alignment with qc, no bqsr, no verify_bam_id
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![]() Path: definitions/pipelines/alignment_exome_nonhuman.cwl Branch/Commit ID: b9e7392e72506cadd898a6ac4db330baf6535ab6 |
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fillout_index_prefilter.cwl
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![]() Path: cwl/fillout_index_prefilter.cwl Branch/Commit ID: 462f6015c9268a4205b6e81de018a470b8a4a153 |
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bam-bedgraph-bigwig.cwl
Workflow converts input BAM file into bigWig and bedGraph files. Input BAM file should be sorted by coordinates (required by `bam_to_bedgraph` step). If `split` input is not provided use true by default. Default logic is implemented in `valueFrom` field of `split` input inside `bam_to_bedgraph` step to avoid possible bug in cwltool with setting default values for workflow inputs. `scale` has higher priority over the `mapped_reads_number`. The last one is used to calculate `-scale` parameter for `bedtools genomecov` (step `bam_to_bedgraph`) only in a case when input `scale` is not provided. All logic is implemented inside `bedtools-genomecov.cwl`. `bigwig_filename` defines the output name only for generated bigWig file. `bedgraph_filename` defines the output name for generated bedGraph file and can influence on generated bigWig filename in case when `bigwig_filename` is not provided. All workflow inputs and outputs don't have `format` field to avoid format incompatibility errors when workflow is used as subworkflow. |
![]() Path: tools/bam-bedgraph-bigwig.cwl Branch/Commit ID: bc75349ad3a7bdce82b4cd8584501f4d0280bb8d |
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RNA-Seq alignment and transcript/gene abundance workflow
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![]() Path: definitions/pipelines/rnaseq.cwl Branch/Commit ID: 8cee1920920ed73384fb3ab74272da9c92a20cf2 |
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wf-loadContents3.cwl
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![]() Path: tests/wf-loadContents3.cwl Branch/Commit ID: 31ec48a8d81ef7c1b2c5e9c0a19e7623efe4a1e2 |
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wffail.cwl
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![]() Path: tests/wf/wffail.cwl Branch/Commit ID: 4635090ef98247b1902b3c7a25c007d9db1cb883 |
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workflow.cwl
CWL workflow for generating Roslin / Argos post pipeline analysis files and cBioPortal data and metadata files Inputs ------ The following parameters are required: project_id project_pi request_pi project_short_name project_name project_description cancer_type cancer_study_identifier argos_version_string helix_filter_version is_impact extra_pi_groups The following filenames are required: analysis_mutations_filename analysis_gene_cna_filename analysis_sv_filename analysis_segment_cna_filename cbio_segment_data_filename cbio_meta_cna_segments_filename The following filenames have default values and are optional: cbio_mutation_data_filename cbio_cna_data_filename cbio_fusion_data_filename cbio_clinical_patient_data_filename cbio_clinical_sample_data_filename cbio_clinical_sample_meta_filename cbio_clinical_patient_meta_filename cbio_meta_study_filename cbio_meta_cna_filename cbio_meta_fusions_filename cbio_meta_mutations_filename cbio_cases_all_filename cbio_cases_cnaseq_filename cbio_cases_cna_filename cbio_cases_sequenced_filename Output ------ Workflow output should look like this: output ├── analysis │ ├── <project_id>.gene.cna.txt │ ├── <project_id>.muts.maf │ ├── <project_id>.seg.cna.txt │ └── <project_id>.svs.maf └── portal ├── case_list │ ├── cases_all.txt │ ├── cases_cnaseq.txt │ ├── cases_cna.txt │ └── cases_sequenced.txt ├── data_clinical_patient.txt ├── data_clinical_sample.txt ├── data_CNA.ascna.txt ├── data_CNA.scna.txt ├── data_CNA.txt ├── data_fusions.txt ├── data_mutations_extended.txt ├── meta_clinical_patient.txt ├── meta_clinical_sample.txt ├── meta_CNA.txt ├── meta_fusions.txt ├── meta_mutations_extended.txt ├── meta_study.txt ├── <project_id>_data_cna_hg19.seg └── <project_id>_meta_cna_hg19_seg.txt |
![]() Path: cwl/workflow.cwl Branch/Commit ID: d8a8af9fdb69c0a4003680c1d3b96f35d5e48f0e |
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Subworkflow that runs cnvkit in single sample mode and returns a vcf file
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![]() Path: definitions/subworkflows/cnvkit_single_sample.cwl Branch/Commit ID: bfcb5ffbea3d00a38cc03595d41e53ea976d599d |
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joint genotyping for trios or small cohorts
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![]() Path: definitions/subworkflows/joint_genotype.cwl Branch/Commit ID: 4aba7c6591c2f1ebd827a36d325a58738c429bea |
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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 |
![]() Path: workflows/rnaseq-se-dutp-mitochondrial.cwl Branch/Commit ID: dda9e6e06a656b7b3fa7504156474b962fe3953c |