Explore Workflows
View already parsed workflows here or click here to add your own
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createindex_singlevirus.cwl
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![]() Path: workflow/createindex_singlevirus.cwl Branch/Commit ID: 16dbe9d99137cbfee834fc22b79190f812543f7e |
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AltAnalyze CellHarmony
AltAnalyze CellHarmony ====================== |
![]() Path: workflows/altanalyze-cellharmony.cwl Branch/Commit ID: 581156366f91861bd4dbb5bcb59f67d468b32af3 |
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wf-variantcall.cwl
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![]() Path: NA12878-chr20/NA12878-platinum-chr20-workflow/wf-variantcall.cwl Branch/Commit ID: af9a5621efcb44c249697d6df071fe4defe389ac |
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wf-alignment.cwl
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![]() Path: NA12878-chr20/NA12878-platinum-chr20-workflow/wf-alignment.cwl Branch/Commit ID: af9a5621efcb44c249697d6df071fe4defe389ac |
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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 |
![]() Path: definitions/pipelines/somatic_exome.cwl Branch/Commit ID: 7638b3075863ae8172f4adaec82fb2eb8e80d3d5 |
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scatter2.cwl
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![]() Path: tests/wf/scatter2.cwl Branch/Commit ID: 07ebbea2bdf97955060c1dd563580b386388519b |
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Build Bismark indices
Copy fasta_file file to the folder and run run bismark_genome_preparation script to prepare indices for Bismark Methylation Analysis. Bowtie2 aligner is used by default. The name of the output indices folder is equal to the genome input. |
![]() Path: workflows/bismark-index.cwl Branch/Commit ID: 60854b5d299df91e135e05d02f4be61f6a310fbc |
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FastQC - a quality control tool for high throughput sequence data
FastQC - a quality control tool for high throughput sequence data ===================================== FastQC aims to provide a simple way to do some quality control checks on raw sequence data coming from high throughput sequencing pipelines. It provides a modular set of analyses which you can use to give a quick impression of whether your data has any problems of which you should be aware before doing any further analysis. The main functions of FastQC are: - Import of data from FastQ files (any variant) - Providing a quick overview to tell you in which areas there may be problems - Summary graphs and tables to quickly assess your data - Export of results to an HTML based permanent report - Offline operation to allow automated generation of reports without running the interactive application |
![]() Path: workflows/fastqc.cwl Branch/Commit ID: 60854b5d299df91e135e05d02f4be61f6a310fbc |
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04-quantification-se-stranded.cwl
RNA-seq 04 quantification |
![]() Path: v1.0/RNA-seq_pipeline/04-quantification-se-stranded.cwl Branch/Commit ID: 1a0dd34d59ec983d1f7ad77bff35da2f016e3134 |
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01-qc-se.cwl
ATAC-seq 01 QC - reads: SE |
![]() Path: v1.0/ATAC-seq_pipeline/01-qc-se.cwl Branch/Commit ID: 487af88ef0b971f76ecd1a215639bb47e3ee94e1 |