Explore Workflows
View already parsed workflows here or click here to add your own
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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: c602e3cdd72ff904dd54d46ba2b5146eb1c57022 |
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contig LCA
create LCA consistant across input contigs contigs order of precedence - rRNA, single copy gene, LCA of genes |
Path: CWL/Workflows/contig-lca.workflow.cwl Branch/Commit ID: d9cf22cd615542c94f7974e8bce4cf29b24d985f |
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conditional_step_no_inputs.cwl
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Path: tests/wf/conditional_step_no_inputs.cwl Branch/Commit ID: e1a9100dff381ebd59b2a74806f705b7c68a8584 |
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umi duplex alignment fastq workflow
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Path: definitions/pipelines/umi_duplex_alignment.cwl Branch/Commit ID: f9600f9959acdc30259ba7e64de61104c9b01f0b |
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trim-rnaseq-se-dutp.cwl
Runs RNA-Seq dUTP BioWardrobe basic analysis with strand specific single-end data file. |
Path: workflows/trim-rnaseq-se-dutp.cwl Branch/Commit ID: b8e28a017f7b1a2900ec0fd3b3549f123f0c91b4 |
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exome alignment and germline variant detection
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Path: definitions/pipelines/germline_exome.cwl Branch/Commit ID: f9600f9959acdc30259ba7e64de61104c9b01f0b |
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iwdr_with_nested_dirs.cwl
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Path: cwltool/schemas/v1.0/v1.0/iwdr_with_nested_dirs.cwl Branch/Commit ID: 6e9f82a6d2195d4f16f28fd6e1485138372fb430 |
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count-lines10-wf.cwl
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Path: cwltool/schemas/v1.0/v1.0/count-lines10-wf.cwl Branch/Commit ID: ae401a813472ca453a99ad067a5e6fc3bd71112b |
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DiffBind - Differential Binding Analysis of ChIP-Seq Peak Data
Differential Binding Analysis of ChIP-Seq Peak Data --------------------------------------------------- DiffBind processes ChIP-Seq data enriched for genomic loci where specific protein/DNA binding occurs, including peak sets identified by ChIP-Seq peak callers and aligned sequence read datasets. It is designed to work with multiple peak sets simultaneously, representing different ChIP experiments (antibodies, transcription factor and/or histone marks, experimental conditions, replicates) as well as managing the results of multiple peak callers. For more information please refer to: ------------------------------------- Ross-Innes CS, Stark R, Teschendorff AE, Holmes KA, Ali HR, Dunning MJ, Brown GD, Gojis O, Ellis IO, Green AR, Ali S, Chin S, Palmieri C, Caldas C, Carroll JS (2012). “Differential oestrogen receptor binding is associated with clinical outcome in breast cancer.” Nature, 481, -4. |
Path: workflows/diffbind.cwl Branch/Commit ID: 4dcc405133f22c63478b6091fb5f591b6be8950f |
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Cell Ranger ARC Count Gene Expression + ATAC
Cell Ranger ARC Count Gene Expression + ATAC ============================================ |
Path: workflows/cellranger-arc-count.cwl Branch/Commit ID: 7ae3b75bbe614e59cdeaba06047234a6c40c0fe9 |
