Explore Workflows
View already parsed workflows here or click here to add your own
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Subworkflow to allow calling cnvkit with cram instead of bam files
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![]() Path: definitions/subworkflows/cram_to_cnvkit.cwl Branch/Commit ID: f77a920bcc73f6cfdb091eed75a149d02cd8a263 |
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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. |
![]() Path: subworkflows/allele-alignreads-se-pe.cwl Branch/Commit ID: 9a2c389364674221fab3f0f6afdda799e6aa3247 |
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bact_get_kmer_reference
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![]() Path: task_types/tt_bact_get_kmer_reference.cwl Branch/Commit ID: ae781871782805632f8947c1b11f65507c80cd43 |
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mutect parallel workflow
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![]() Path: definitions/subworkflows/mutect.cwl Branch/Commit ID: 295e7b7f51727c0f2d6cc86ce817449b2e8dba3c |
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wgs alignment with qc
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![]() Path: definitions/pipelines/wgs_alignment.cwl Branch/Commit ID: 1560e7817fdb71d58aca7f98aba68809d840ade1 |
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Motif Finding with HOMER with target and background regions from peaks
Motif Finding with HOMER with target and background regions from peaks --------------------------------------------------- HOMER contains a novel motif discovery algorithm that was designed for regulatory element analysis in genomics applications (DNA only, no protein). It is a differential motif discovery algorithm, which means that it takes two sets of sequences and tries to identify the regulatory elements that are specifically enriched in on set relative to the other. It uses ZOOPS scoring (zero or one occurrence per sequence) coupled with the hypergeometric enrichment calculations (or binomial) to determine motif enrichment. HOMER also tries its best to account for sequenced bias in the dataset. It was designed with ChIP-Seq and promoter analysis in mind, but can be applied to pretty much any nucleic acids motif finding problem. For more information please refer to: ------------------------------------- [Official documentation](http://homer.ucsd.edu/homer/motif/) |
![]() Path: workflows/homer-motif-analysis-peak.cwl Branch/Commit ID: 1131f82a53315cca217a6c84b3bd272aa62e4bca |
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mutect panel-of-normals workflow
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![]() Path: definitions/pipelines/panel_of_normals.cwl Branch/Commit ID: 1560e7817fdb71d58aca7f98aba68809d840ade1 |
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bact_get_kmer_reference
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![]() Path: task_types/tt_bact_get_kmer_reference.cwl Branch/Commit ID: da35c7b700912dd3643e3dd2c5c96b7be3a4edad |
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exome alignment and germline variant detection, with optitype for HLA typing
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![]() Path: definitions/pipelines/germline_exome_hla_typing.cwl Branch/Commit ID: 1560e7817fdb71d58aca7f98aba68809d840ade1 |
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rnaseq-pe-dutp-mitochondrial.cwl
RNA-Seq strand specific mitochondrial workflow for pair-end experiment based on BioWardrobe's basic analysis. |
![]() Path: workflows/rnaseq-pe-dutp-mitochondrial.cwl Branch/Commit ID: 9a2c389364674221fab3f0f6afdda799e6aa3247 |